Choosing the wrong cloud security platform can leave an organization in a worse position than before the purchase. The security team gains another console, developers receive another stream of alerts, and executives still cannot answer a basic question: which cloud risks could cause material damage now?

The cost reaches beyond software fees. A poor choice consumes implementation time, slows engineering teams, leaves coverage gaps, and creates false confidence for leadership and auditors.

When evaluating how to choose a CNAPP solution, a strong decision starts with the organization's risks and operating capacity, then tests whether a platform can turn scattered technical signals into a small number of actions that people can own.

Decide Whether You Need a CNAPP

A cloud-native application protection platform, or CNAPP, brings several cloud security functions into one operating model. These commonly include cloud configuration checks, workload protection, Kubernetes security, cloud identity analysis, code and software supply chain scanning, compliance monitoring, and risk prioritization.

Gartner's current guidance identifies cloud security posture management (CSPM), cloud workload protection (CWPP), Kubernetes security posture management (KSPM), and cloud infrastructure entitlement management (CIEM) as core capabilities. If those acronyms blur together, our explainer on CSPM vs CNAPP vs CWPP walks through each layer.

The case for CNAPP becomes stronger as the distance grows between the people who build services and the people expected to secure them. Warning signs include several cloud providers, frequent production releases, Kubernetes or serverless workloads, overlapping scanners, manual compliance work, and a backlog that nobody can confidently prioritize. Companies also reach the point of need when they cannot connect a vulnerable software package to the application using it, the owner responsible for it, or the business service at risk.

Smaller organizations may not need a full platform yet. A company with one cloud, a limited number of workloads, and a capable internal team may cover its immediate risks with the cloud provider's native controls and a few focused tools. The decision should reflect complexity rather than company size alone. A 40-person software company operating hundreds of short-lived workloads may have a harder security problem than a much larger business running a stable internal system.

Leadership should also assess operational readiness. A platform can identify risk, yet someone must accept findings, fund remediation, and measure closure. When ownership is unclear, a CNAPP can make the backlog more visible without making the company safer.

Define the Outcome Before Comparing Products

Vendor comparisons often begin with feature lists. A better starting point is a set of business questions the platform must answer. Executives should expect clear answers to questions such as:

• Which weaknesses are exposed to the internet or reachable from an untrusted path?
• What is the potential blast radius if a specific identity is compromised?
• Which issues affect critical services or sensitive data?
• Which identities hold more access than their role requires?
• Which vulnerabilities are known to be exploited or are likely to be exploited soon?
• Who owns each affected application, and how quickly can the issue be corrected?
• Can the company show auditors that controls are operating in the live environment?

Risk prioritization deserves particular attention. A severity score alone says little about the organization's actual exposure. The US Cybersecurity and Infrastructure Security Agency maintains the Known Exploited Vulnerabilities (KEV) catalog to identify vulnerabilities with evidence of exploitation. FIRST's Exploit Prediction Scoring System (EPSS) estimates the probability that a published vulnerability will be exploited in the next 30 days.

A useful CNAPP combines signals such as these with internet exposure, access permissions, workload status, data sensitivity, and business importance. The result should be an ordered remediation plan rather than a longer findings report.

Set Requirements Around Your Organization

Requirements should reflect the environment the platform will protect over the next two or three years. Record the cloud providers, accounts, subscriptions, clusters, registries, repositories, deployment pipelines, applications, APIs, identities, and compliance obligations in scope. Growth plans matter because pricing and performance can change sharply as new accounts or workloads are added.

Deployment architecture: agentless vs. agent-based

The way a CNAPP gathers data dictates its impact on engineering velocity.

• Agentless scanning: Uses API connections and cloud volume snapshots to scan infrastructure without installing software on the workloads. This provides fast coverage with negligible performance impact, which suits CSPM and baseline vulnerability scanning.
• Agent-based / eBPF: Requires installing lightweight sensors (often built on eBPF) on the workload. This is needed for real-time cloud detection and response (CDR) and for stopping active runtime threats (CWPP).

A modern CNAPP should offer a hybrid approach to balance frictionless visibility with deep runtime protection.

Shift-left vs. shield-right

Security must cover the entire application lifecycle. Shift-left capabilities require integrating into the developer's CI/CD pipeline (scanning infrastructure as code, generating SBOMs). Shield-right requires robust runtime defense. Your CNAPP must bridge the gap, tracing a live production threat back to the specific repository that caused it.

Team structure shapes the choice as much as technology

A small security group supporting many developers needs straightforward deployment, reliable automation, and strong vendor assistance. A large enterprise may place greater value on custom policies, delegated administration, data residency, and integration with existing security operations.

AI use creates another requirement category

Companies using AI to generate code need controls that fit the normal software review process. Organizations operating models, agents, or AI services may also need asset discovery, model governance, testing for AI-specific attacks, and visibility into sensitive data access.

NIST's secure development guidance for generative AI, SP 800-218A, extends established software security practices across the AI development lifecycle. Buyers should therefore ask how a CNAPP covers AI systems, where its own AI features process customer data, and whether people can review automated recommendations before action.

Support needs should be explicit

Some teams need product documentation and a standard service desk. Others need onboarding, architecture reviews, remediation guidance, compliance assistance, or ongoing monitoring. The proof of concept should test the quality of support with real cases, including the route to an experienced engineer when the first response does not solve the problem.

Require a Connected View of Risk

A credible CNAPP should cover the application lifecycle and preserve context between code and production. It should discover cloud assets, assess configurations and permissions, examine software and infrastructure code, protect relevant workloads, and connect findings to applications and owners. Coverage must match the organization's real mix of virtual machines, containers, Kubernetes, serverless services, APIs, and cloud providers.

• Correlated, not siloed. Older tools present risks in silos: one alert for an exposed S3 bucket, another for an over-privileged IAM role. Modern CNAPPs use a unified graph to identify toxic combinations, multi-step attack vectors where low-level misconfigurations chain together. This is known as attack path analysis. If a platform cannot show how an attacker could move from a vulnerable VM through a service account to sensitive data, it lacks a connected view.
• Integration quality. Most remediation occurs outside the security console. Verify that findings can reach the ticketing, development, messaging, and security operations systems teams already use. Each ticket should carry enough evidence and guidance for the owner to act without repeating the investigation.
• Reporting from one source of truth. Good reporting serves different decisions from the same underlying data. Executives need trends, material exposure, accountability, and exceptions. Security teams need evidence and investigation context. Developers need a reproducible problem and a practical fix. Auditors need control status tied to current technical evidence. A platform that produces separate and inconsistent versions of the truth will recreate the fragmentation it was purchased to remove.
• Governed automation and AI. Automation and AI can reduce manual effort when their output is explainable, reviewable, and governed. Buyers should test the accuracy of summaries, ownership suggestions, remediation guidance, and automated changes. A polished assistant cannot compensate for incomplete asset discovery or weak risk context.
• Adjacent capabilities on merit. Data security posture management (DSPM), API testing, software bills of materials (SBOMs), license governance, and AI security may add significant value. Their importance depends on the company's products, data, regulations, and existing tools. Treat them as requirements only when they address a defined risk or replace a real cost.

Choose an Operating Model You Can Sustain

Native cloud security services often suit organizations concentrated in one provider. They may offer fast access to provider-specific telemetry and simpler procurement. Their value can decline when leadership needs consistent policy, reporting, and prioritization across several clouds and development systems.

• Open-source tools make sense when the organization has the skill and time to build its own operating layer. License cost is only one part of the calculation. Engineering work is required to deploy scanners, normalize findings, maintain integrations, tune policies, operate infrastructure, produce reports, and respond when components change. Open source can offer control and transparency, especially for narrowly defined requirements, provided the company accepts those responsibilities.
• Commercial software as a service (SaaS) usually provides faster onboarding, managed updates, elastic capacity, and vendor support. Buyers should examine data location, access permissions, retention, service availability, export options, and the process for removing the vendor's access.
• Commercial, self-hosted. Regulated companies may prefer a commercial platform deployed fully in their own environment. That model can preserve data control while retaining product support, although the customer may assume more operational work.

Compare the three-year total cost of each model. Include licenses, cloud infrastructure, implementation, maintenance, integrations, training, support, and the people required to operate it. Expected value should include retired tools, reduced triage effort, faster remediation, shorter audit preparation, and lower exposure to serious incidents.

Shortlist CNAPP Tools With Evidence

Begin with five to eight scenarios drawn from your environment. One scenario might ask the platform to find an internet-facing production workload with a vulnerability in the CISA KEV catalog, trace it to its source repository, identify its owner, and open a ticket with a validated fix. Another might test whether an overprivileged identity can reach sensitive data.

Set disqualifying conditions before vendor meetings. Missing support for a required cloud, an unacceptable deployment model, weak data controls, unpredictable pricing, or an essential integration gap should remove a product from consideration. Shortlist three or four candidates that pass these conditions. Our buyer's guide to the top CNAPP tools is a reasonable place to build the initial long list.

Score them using weights agreed by security, engineering, compliance, procurement, and business owners. The following allocation provides a practical starting point. Adjust it to match the organization, because a regulated bank and a growing SaaS company should not produce identical scorecards.

Make the Proof of Concept Decisive

Run the same tests for every shortlisted platform using representative accounts, applications, and workflows. Define success before testing. Useful measures include:

• Percentage of expected assets discovered
• Duplicate and false-positive rates
• Time needed to identify an owner
• Time from detection to verified correction
• Integration effort and developer acceptance
• Reporting time saved

Require vendors to explain missed assets, unusual permissions, and scoring decisions. Test removal as carefully as onboarding so the team knows which agents, roles, connectors, and retained data will remain if the platform is rejected.

Several common mistakes disappear under a disciplined proof of concept. Buyers avoid choosing from a controlled demo, counting features without checking their depth, assuming every listed integration is ready, and accepting AI claims without testing accuracy or data handling.

Support should also be evaluated during the trial, because its quality can determine whether a small team succeeds with a broad platform.

Frequently Asked Questions

What is the difference between CSPM and CNAPP?

CSPM (cloud security posture management) is a foundational subset of a CNAPP. CSPM checks cloud infrastructure for misconfigurations. A CNAPP combines CSPM with workload protection (CWPP), identity and entitlement management (CIEM), and code-level scanning into a single, correlated platform.

Do I need an agentless or agent-based CNAPP?

Ideally, both. Agentless scanning suits fast, low-friction deployment and broad visibility across accounts. Stopping active threats in real time (runtime protection), however, requires lightweight, often eBPF-based agents installed on critical workloads.

How does a CNAPP help with developer friction?

By consolidating multiple security scanners into one correlated data model, a CNAPP deduplicates alerts. Instead of sending developers three separate tickets for the same underlying issue, it correlates the data and provides a single ticket with exact context.

Making a Defensible Decision

The right CNAPP is the one your organization can operate and use to reduce important risk. Leadership should be able to trace the final decision from business risks to requirements, proof-of-concept evidence, ownership, cost, and accepted gaps.

Start by documenting the environment and the few security outcomes that matter most. Choose the operating model your team can sustain, eliminate candidates that fail essential conditions, and test the remaining platforms against identical scenarios. A decision made this way gives executives more than a security product. It gives them a measurable program for finding risk, assigning responsibility, and verifying that exposure is falling.

Where Offload Security Fits

Offload Security is a unified CNAPP, vulnerability management and compliance platform, with the option of expert support. Its published capabilities cover cloud posture, code, containers, Kubernetes, vulnerability management, attack-path analysis, threat intelligence, compliance, AI security, and reporting through one normalized data model. The platform is available as SaaS or fully on-premises.

Offload also enriches findings with CISA KEV and EPSS information, links technical findings to compliance and risk workflows, and offers security assessment, implementation, and ongoing service options. Its platform licensing is scoped to the environments connected rather than developer seats, which may be useful for organizations with broad development participation.

Those capabilities should be judged through the exact process outlined above. A tailored proof of concept should confirm coverage, prioritization, integrations, remediation quality, deployment requirements, support, and total cost in your environment. See our head-to-head comparisons, or book a 30-minute demo to see how a unified CNAPP handles your specific cloud risks.

Modern cloud technology helps companies release software faster using microservices, serverless systems, and infrastructure-as-code (IaC). But as companies use multiple clouds, their security tools often become scattered across different platforms. This can create blind spots, too many alerts, and a lot of tools to manage.

A Cloud-Native Application Protection Platform (CNAPP) brings key security tools together in one platform to give security teams better visibility, faster threat detection, and clearer context.

Choosing the right cloud security solution can still be difficult because vendors offer different features, deployment options, and compliance support. This guide explains what CNAPP is, its main benefits and trends, and evaluates the best CNAPP platforms to help you choose the ideal solution for your business.

Disclosure: Offload Security publishes this guide and is one of the platforms reviewed. G2 ratings, analyst recognition and pricing models are as published by G2 and the vendors at the time of writing (October 2026); check each vendor for current details.

Understanding CNAPP

A Cloud-Native Application Protection Platform (CNAPP) is an all-in-one security model that unifies disparate cloud security disciplines into a single pane of glass.

Instead of operating isolated tools, a CNAPP consolidates:

• CSPM (Cloud Security Posture Management): Identifies cloud misconfigurations, governance drift, and compliance gaps.
• CWPP (Cloud Workload Protection Platform): Secures virtual machines, containers, and serverless functions at runtime.
• CIEM (Cloud Infrastructure Entitlement Management): Monitors access privileges, enforcing the principle of least privilege across cloud identities.
• DevOps / ASPM (Application Security Posture Management): Scans IaC templates, container images, and source code early in the build pipeline.

By correlating data across these domains, a CNAPP maps out realistic attack paths, distinguishing between theoretical vulnerabilities and actively exploitable threats.

If the acronyms are new to you, our explainer on CSPM vs CNAPP vs CWPP walks through each layer, and what attack path analysis actually does covers the correlation step in depth.

Best CNAPP Tools Comparison Table

Best CNAPP Platforms in 2026

1. Microsoft Defender for Cloud

Microsoft Defender for Cloud is an enterprise-grade CNAPP designed to protect multi-cloud and hybrid environments across Azure, AWS, and GCP. Combining threat intelligence with agentless scanning and optional runtime agents, it provides visibility from code creation to runtime execution.

Key Information

Features of Microsoft CNAPP

• Cloud Security Posture Management (CSPM)
• Cloud Workload Protection Platform (CWPP)
• Cloud Infrastructure Entitlement Management (CIEM)
• DevOps Security & ASPM Integration
• Agentless Posture & Vulnerability Scanning
• Attack Path Analysis & Security Graph
• Regulatory Compliance & Governance Mapping

Why Choose Microsoft CNAPP?

• Market Authority & Enterprise-Scale Adoption: Backed by Microsoft's large annual cybersecurity investment and a threat intelligence network processing trillions of daily signals, Defender for Cloud is used by enterprises across the Fortune 500.
• Native Azure Integration with Multi-Cloud Reach: Provides zero-friction deployment natively embedded into Azure infrastructure, while extending standardized policy enforcement, CIS/NIST compliance baselines, and agentless posture management seamlessly across AWS and GCP environments.
• Contextual Intelligence & Industry Recognition: Uses graph analytics, EPSS scoring, and attack path visualization to transform millions of raw telemetry events into actionable, prioritized risk reduction.
• Unified XDR Ecosystem Positioning: Uniquely bridges cloud security operations with Microsoft Sentinel (SIEM/SOAR) and Defender XDR, enabling SOC teams to correlate cloud resource risks with identity, endpoint, email, and SaaS attack vectors from a single operational platform.

Things to Consider

Microsoft Defender for Cloud is a strong fit if your stack is Azure-heavy, but multi-cloud coverage for AWS and GCP is noticeably thinner by comparison. Outside the Microsoft ecosystem, licensing gets complicated fast — most useful capabilities sit behind separate consumption-based billing that's hard to predict at scale. Teams without dedicated Microsoft security expertise also report a steep configuration curve and noisy alerts that require ongoing tuning.

2. Offload Security

Offload Security is a CNAPP and security orchestration platform for enterprise security teams. By seamlessly bridging Cloud Security Posture Management (CSPM), Kubernetes/container protection, and shift-left Application Security Posture Management (ASPM), Offload Security eliminates security blind spots without introducing vendor lock-in. Available as both SaaS and fully on-premises (including air-gapped) deployment options, it empowers security teams to consolidate tools, automate compliance, and remediate risk with full context.

Key Information

Features of Offload Security

• Unified Scanner Aggregation & Deduplication
• Flexible SaaS & Fully On-Premises (Air-Gapped) Deployment Options
• Native Regional Regulatory Automation (DPDP Act, CERT-In, RBI, ISO 27001, SOC 2)
• Threat-Informed Prioritization (EPSS, CISA KEV)
• Automated Risk Registers & Compliance Reporting
• Shift-Left Code, IaC & Container Scanning with CI/CD Guardrails

Why Choose Offload Security?

• Flexible SaaS & Fully On-Premises Architecture: Offload Security offers flexible deployment models, allowing organizations to run it as a managed SaaS platform or deploy fully on-premises (including air-gapped environments) to ensure total data residency and sovereign compliance.
• Unified Scanner Aggregation & Vulnerability Deduplication: Eliminates tool sprawl and alert fatigue by acting as a single pane of glass that ingests, normalizes, and deduplicates findings across its built-in and connected scanners (including Prowler, Trivy, OWASP ZAP, OpenVAS, and Wazuh), dramatically lowering the total cost of ownership (TCO).
• Automated Regional Regulatory Engine & Continuous Compliance: Pre-configured with continuous compliance mapping specifically built for stringent regional frameworks (such as India's DPDP Act, CERT-In guidelines, and RBI mandates) alongside global standards (ISO 27001, SOC 2, PCI-DSS, NIST), enabling automated audit preparation and one-click regulatory reporting.
• Threat-Informed Risk Prioritization & Reachability: Correlates findings across posture, identity, and workload layers using EPSS scores, CISA KEV catalogs, and business asset impact matrices to guide engineering teams toward business-critical, actively exploitable attack vectors.

Things to Consider

Offload Security is purpose-built for teams consolidating a fragmented toolset, so organizations looking for a lightweight, single-use point tool may find the platform broader than their immediate needs. The full value becomes apparent once scanner aggregation and compliance automation are running together — teams get the most out of it when they approach it as a platform replacement rather than an add-on.

For detailed feature breakdowns and solution architecture, visit the Offload Security platform page or explore the Offload Security documentation.

3. Wiz

Wiz delivers an agentless, graph-based architecture that provides rapid visibility across AWS, Azure, GCP, OCI, and Kubernetes clusters. Analyzing cloud configurations, network routability, identities, and storage snapshots, Wiz builds a dynamic Security Graph that pinpoints toxic combinations without agents.

Note: In March 2026, Google completed its acquisition of Wiz for $32 billion. Wiz now operates under Google Cloud while maintaining its brand and multi-cloud support across AWS, Azure, OCI, and GCP.

Key Information

Features of Wiz

• Agentless Cloud Security Posture Management (CSPM)
• Security Graph & Attack Path Analysis
• Vulnerability Management & Agentless Workload Scanning
• Cloud Infrastructure Entitlement Management (CIEM)
• Container & Kubernetes Security
• Infrastructure as Code (IaC) Scanning
• Cloud Data Security Posture Management (DSPM)

Why Choose Wiz?

• Market Authority & Enterprise Momentum: Named a Leader in The Forrester Wave™ for CNAPP (Q1 2026) and widely adopted across the Fortune 100, Wiz pioneered the graph-based approach to cloud security.
• Rapid Agentless Deployment & Total Visibility: Achieves 100% multi-cloud coverage within minutes across AWS, Azure, GCP, OCI, and Kubernetes using API connectors and out-of-band VM/storage snapshot scanning without operational overhead or performance degradation.
• Graph Analytics & Toxic Combination Pinpointing: Powers risk correlation through the Wiz Security Graph, exposing complex attack paths by correlating misconfigurations, exposed secrets, high-privilege IAM roles, and active CVEs into an intuitive visual map.
• Developer Democratization & Shift-Left Guardrails: Empowers engineering teams by embedding security checks directly into IDEs, CI/CD pipelines, and pull requests, establishing developer-friendly guardrails that prevent risky infrastructure-as-code from reaching production.

Things to Consider

Wiz's per-workload pricing model scales steeply for large environments, and enterprise contracts tend to require significant negotiation. The platform's strength is agentless visibility; its runtime sensor and active workload-level enforcement are newer and less mature than its posture and graph capabilities. Since Google completed its acquisition in March 2026, organizations with multi-cloud neutrality requirements should factor in potential long-term alignment with Google Cloud.

4. Palo Alto Networks (Prisma Cloud)

Prisma Cloud by Palo Alto Networks – now rebranded and unified as Cortex Cloud – is a mature code-to-cloud CNAPP solution for large-scale enterprise environments. It combines agentless posture scanning with in-line agent runtime defenses, ASPM, CIEM, and cloud data security across multi-cloud topologies.

Key Information

Note: Palo Alto Networks rebranded Prisma Cloud as Cortex Cloud in February 2025, merging it with Cortex CDR on the unified Cortex platform.

Features of Prisma Cloud

• Comprehensive Cloud Security Posture Management (CSPM)
• In-Line & Agentless Cloud Workload Protection (CWPP)
• Cloud Infrastructure Entitlement Management (CIEM)
• Application Security Posture Management (ASPM)
• Shift-Left Security & Bridgecrew IaC Protection
• Web App & API Security (WAAS)
• Automated Governance & Compliance Reporting

Why Choose Prisma Cloud?

• Industry-Leading Enterprise Scale & Market Dominance: Trusted by Fortune 100 enterprises globally, Palo Alto Networks' Cortex Cloud (formerly Prisma Cloud) is an established industry benchmark for CNAPP.
• Comprehensive Code-to-Cloud Protection: Delivers full lifecycle security by uniting developer pipeline scanning, open-source dependency auditing, container registry defense, and runtime workload protection under a unified platform framework.
• In-Line Runtime Defenses & Shift-Left Bridgecrew Integration: Combines agentless posture management with active in-line container firewalls and process protection, while leveraging Bridgecrew technology to enforce policy-as-code deep in developer workflows.
• Global Compliance Certifications & Governance Engine: Features over 120 out-of-the-box compliance frameworks (SOC 2, ISO 27001, NIST, HIPAA, PCI-DSS) with automated drift detection and executive reporting tailored for heavily regulated global organizations.

Things to Consider

Cortex Cloud's credit-based pricing is notoriously difficult to forecast, with enterprise tiers running high and costs climbing sharply as environments grow. The ongoing migration from Prisma Cloud to the Cortex platform also introduces real operational disruption — existing users face a near-full platform replacement with its own learning curve and reconfiguration effort. Teams without dedicated Palo Alto expertise routinely cite complex setup and module fragmentation as ongoing friction.

5. Banyan Cloud

Banyan Cloud is an enterprise-grade CNAPP and Cloud Security Management platform engineered for multi-cloud security posture, infrastructure compliance, and shift-left cloud governance. Built to provide continuous automated posture monitoring, identity entitlement enforcement, and proactive misconfiguration remediation across AWS, Azure, and GCP, Banyan Cloud simplifies complex multi-cloud operations into a unified pane of glass.

Key Information

Features of Banyan Cloud

• Multi-Cloud Security Posture Management (CSPM)
• Cloud Infrastructure Entitlement Management (CIEM)
• Automated Misconfiguration & Drift Remediation
• Continuous Compliance & Governance Automation
• Shift-Left IaC & CI/CD Pipeline Scanning
• Container & Kubernetes Workload Security

Why Choose Banyan Cloud?

• Unified Multi-Cloud Posture & Governance: Delivers real-time posture management across AWS, Azure, and GCP, centralizing security benchmarks, identity entitlements, and policy enforcement into a single operational workflow.
• Automated Remediation Guardrails: Goes beyond passive risk identification by providing automated playbooks and programmatic remediation guardrails that fix misconfigurations before they lead to security incidents.
• Continuous Compliance & Audit Readiness: Pre-configured with comprehensive automated mappings for major global regulatory frameworks (SOC 2, ISO 27001, PCI-DSS, HIPAA, NIST) to eliminate manual audit preparation.
• Shift-Left Infrastructure-as-Code Defense: Integrates directly into CI/CD build pipelines and developer toolchains to scan IaC scripts, catching drift and security gaps prior to production deployment.

Things to Consider

Banyan Cloud is a solid posture and compliance-focused platform, but it is still building its market presence and ecosystem of integrations compared to more established CNAPP vendors. Teams that need mature runtime workload protection or deep Kubernetes-native security as core requirements may find Banyan's current offering better suited as a CSPM and compliance layer than a full-stack CNAPP replacement.

6. Plexicus

Plexicus is a developer-first option among top CNAPP vendors, functioning as both a posture manager and automated remediation engine. By bridging ASPM with live cloud runtime context, Plexicus automatically generates verified code fixes and opens pull requests, allowing engineering teams to resolve vulnerabilities directly in git repositories.

Key Information

Features of Plexicus

• Automated Pull Request Code Remediation
• Application Security Posture Management (ASPM)
• Code-to-Cloud Vulnerability Traceability
• Developer Environment & IDE Integrations
• Reachability & Prioritization Analytics
• Software Bill of Materials (SBOM) Generation

Why Choose Plexicus?

• Developer-First Remediation Positioning: Plexicus bridges SecOps and engineering by automating code-level fixes, directly opening verified GitHub/GitLab pull requests to eliminate manual triage and backlog stagnation.
• Direct Code-to-Cloud Traceability: Traces live cloud runtime vulnerabilities and misconfigurations directly back to specific source code lines, commit histories, and build pipeline configurations.
• Frictionless Workflow Integration: Embeds natively into everyday developer tools (VS Code, GitHub Actions, Jira), empowering software engineers to remediate security risks without leaving their native workspaces.
• Noise Reduction & Function Reachability: Filters out non-reachable code functions and unexecuted open-source dependencies, drastically reducing false positives so developers focus strictly on exploitable code pathways.

Things to Consider

Plexicus is highly specialized around developer-facing remediation and automated pull request generation, which means it functions best as a shift-left ASPM layer rather than a full CNAPP. Organizations looking for broad cloud posture management, runtime workload protection, or compliance reporting will need to pair it with additional tools to cover those gaps.

7. ARMO Platform

ARMO Platform is a Kubernetes-native security solution built on CNCF Kubescape. ARMO combines KSPM, container vulnerability management, eBPF-driven runtime threat detection, and automated network policy generation into a lean operational platform.

Key Information

Features of ARMO Platform

• Kubernetes Security Posture Management (KSPM)
• eBPF-Based Runtime Threat Detection
• Kubernetes RBAC Visualizer & Hardening
• Automated Seccomp & Network Policy Generation
• Image & Container Vulnerability Scanning
• Open-Source Core Powered by CNCF Kubescape

Why Choose ARMO Platform?

• CNCF Ecosystem Leadership & Transparency: Built on top of CNCF Kubescape, ARMO Platform leverages open-source community innovation to deliver transparent, audit-ready Kubernetes security posture management.
• Kubernetes-First Architecture: Tailored specifically for modern container orchestrators, offering deep visibility into K8s RBAC privileges, API server security, and Pod Security Standards (PSS).
• eBPF-Driven Runtime Anomaly Detection: Detects container drift, unauthorized execution of shell binaries, and reverse shell exploits in real time using lightweight kernel instrumentation.
• Automated Cluster Hardening: Observes runtime application behavior to automatically generate Seccomp profiles, AppArmor rules, and zero-trust Kubernetes NetworkPolicies, minimizing manual policy configuration.

Things to Consider

ARMO is purpose-built for Kubernetes environments, which is also its main limitation — organizations running mixed workloads across VMs, serverless functions, or bare-metal infrastructure will find significant coverage gaps outside the container and K8s layer. Teams without existing Kubernetes expertise may also find the open-source Kubescape core and eBPF-based runtime configuration demanding to operate at production scale.

8. SecPod Saner CNAPP

SecPod Saner CNAPP unifies CSPM, CIEM, and CWPP into an automated security suite engineered for fast telemetry, continuous asset discovery, and automated vulnerability management without the overhead of legacy enterprise suites, making it a strong option for lean teams.

Key Information

Features of SecPod Saner CNAPP

• Automated Continuous Asset Discovery
• Integrated Cloud & Endpoint Patch Management
• Cloud Security Posture Management (CSPM)
• Cloud Infrastructure Entitlement Management (CIEM)
• Unified Endpoint & Cloud Cyber Hygiene
• Real-Time Vulnerability & Misconfiguration Scanning

Why Choose SecPod Saner CNAPP?

• Unified Endpoint & Cloud Hygiene Authority: Uniquely bridges cloud security posture management with on-premise servers and enterprise endpoints, extending cyber hygiene across hybrid enterprise environments.
• Integrated Automated Patch Management: Goes beyond passive risk detection by offering built-in patching capabilities that allow SecOps teams to deploy OS and software vulnerability fixes directly from the management console.
• Continuous Rapid Discovery & Low Overhead: Conducts high-speed, lightweight scanning to detect new assets, configurations, and zero-day threats in real time without straining system resources.
• Operational Efficiency for Lean SecOps: Designed for fast time-to-value and low administrative burden, consolidating CSPM, CIEM, and vulnerability management into a single operational interface.

Things to Consider

SecPod Saner CNAPP is best positioned as a hybrid endpoint and cloud hygiene tool rather than a cloud-native CNAPP in the traditional sense. Teams in pure cloud-native environments may find the endpoint-first heritage limiting, and the platform's cloud coverage — particularly around container security, Kubernetes, and advanced attack path analysis — is less mature than dedicated cloud-native competitors.

9. ControlPlane

ControlPlane is a specialized cloud-native security firm and CNAPP innovator built for high-security environments, financial services, and critical infrastructure. Specializing in threat modeling, Kubernetes security engineering, and zero-trust supply chain protection, ControlPlane delivers hardened security architectures across complex multi-cloud and hybrid infrastructures.

Key Information

Features of ControlPlane

• Kubernetes & Cloud Posture Hardening
• Software Supply Chain Attestation & Provenance Verification
• Threat Modeling & Attack Path Analysis
• Zero-Trust Runtime Isolation Guardrails
• Continuous Compliance & Defense-Grade Security Benchmarking
• Container Image Signing & SBOM Auditing

Why Choose ControlPlane?

• Extreme Hardening for High-Regulated Sectors: Engineered specifically for mission-critical banking, defense, and public sector organizations that require defense-in-depth isolation and military-grade threat modeling.
• Kubernetes-Native Security & Supply Chain Provenance: Provides end-to-end software supply chain security, cryptographically verifying container image provenance, SBOMs, and build attestations before runtime execution.
• Threat-Informed Zero-Trust Architecture: Leverages advanced continuous threat analysis to continuously validate cluster posture, RBAC policies, and runtime isolation boundaries against active adversary tactics.
• CNCF Ecosystem Thought Leadership: Directly contributes to Kubernetes security standards and open-source tooling, offering deep expertise and audit-grade posture validation.

Things to Consider

ControlPlane operates primarily as a boutique security consultancy and engineering firm rather than a productized self-service platform, which means procurement, deployment, and ongoing operations typically require direct engagement with their team. Organizations expecting a plug-and-play CNAPP with a standard SaaS trial experience will find the ControlPlane model a poor fit — it is best suited for high-security, high-budget environments willing to invest in a tailored engagement.

10. Cyscale

Cyscale is an agentless risk-intelligence platform built to turn cloud security data into actionable priorities. Establishing a Security Knowledge Graph, Cyscale connects cloud posture, identity permissions, data protection, and regulatory compliance into streamlined workflows.

Key Information

Features of Cyscale

• Security Knowledge Graph Analysis
• Agentless Cloud Security Posture Management (CSPM)
• Cloud Infrastructure Entitlement Management (CIEM)
• Data Security Posture Management (DSPM)
• Pre-Configured EU GDPR & NIS2 Regulatory Frameworks
• Step-by-Step Contextual Remediation Guidance

Why Choose Cyscale?

• European Data Sovereignty & Privacy Leadership: Engineered in full alignment with strict EU data protection regulations, making Cyscale a top choice for European businesses and multinational corporations with cross-border compliance mandates.
• Out-of-the-Box GDPR & NIS2 Regulatory Automation: Features pre-configured compliance engines specifically targeted at European cybersecurity mandates (GDPR, NIS2, DORA) alongside global standards like ISO 27001, SOC 2, and CIS benchmarks.
• Contextual Knowledge Graph Risk Analysis: Maps complex relationships between IAM roles, internet-exposed endpoints, storage bucket permissions, and vulnerabilities to expose hidden attack paths.
• Streamlined Contextual Remediation Workflows: Provides clear, step-by-step fix recommendations and automated remediation guidance, enabling compact security teams to address root-cause risks efficiently.

Things to Consider

Cyscale is a strong fit for European compliance requirements but has a narrower global compliance library compared to enterprise incumbents like Prisma Cloud or Microsoft Defender for Cloud. The platform also lacks native runtime workload protection and container security depth, meaning organizations that need active threat defense beyond agentless posture and DSPM will likely need supplementary tooling alongside it.

How to Choose the Best CNAPP Software for Your Organization

Selecting from the best CNAPP platforms depends on your infrastructure architecture, team size, deployment requirements, and regulatory obligations:

• For Full On-Premises & Data Sovereignty Control: Choose Offload Security. It provides complete fully on-premises (including air-gapped) deployment options, scanner aggregation, and deep compliance engines tailored for regulated industries and sovereign cloud requirements.
• For Azure-Centric Enterprise Ecosystems: Choose Microsoft Defender for Cloud. Its native integrations with Azure Policy, Sentinel, and Defender XDR offer seamless protection for Microsoft-heavy stacks.
• For Enterprise Runtime Protection & Full Lifecycle Coverage: Choose Palo Alto Networks (Prisma Cloud). It delivers deep, in-line container and host runtime defenses across code, build pipelines, and production environments.
• For Developer-Centric Automated Remediation: Choose Plexicus. Its focus on automatically opening pull requests and providing code-level fixes reduces friction between Dev and Sec teams.
• For Kubernetes-Native eBPF Zero-Trust & Hardened Security: Choose ARMO Platform or ControlPlane. Their platform capabilities deliver continuous posture management, supply chain provenance, and advanced runtime protection for containerized and multi-cloud workloads.

Conclusion

The evolution of cloud security marks a fundamental shift from fragmented, siloed point tools toward unified Cloud-Native Application Protection Platforms. As enterprise architectures increasingly rely on multi-cloud environments, modern microservices, and rapid CI/CD deployment pipelines, relying on isolated security controls creates critical operational blind spots and severe alert fatigue. A well-implemented CNAPP harmonizes posture management, workload protection, entitlement governance, and developer security into a cohesive operational view.

When charting your organization's cloud security roadmap, decision-makers must evaluate CNAPP platforms against four key strategic pillars:

• Comprehensive Multi-Cloud Visibility: Ensuring agentless and continuous posture discovery across all public cloud providers, private infrastructure, and containerized environments.
• Real-Time Runtime Protection: Extending protection beyond static configuration scans to include active, eBPF-driven or agent-based kernel runtime threat detection and automated micro-segmentation.
• Shift-Left ASPM & Developer Workflows: Embedding security policies early into IaC templates, container registries, and IDEs to remediate risks before code reaches production environments.
• Data Sovereignty & Regulatory Compliance: Aligning architecture deployment choices—whether public cloud SaaS, hybrid, or 100% air-gapped self-hosted—with stringent local regulatory frameworks and data privacy mandates.

Ultimately, choosing the right platform requires aligning technical capabilities with your organization's operational maturity, existing DevSecOps workflows, and regulatory footprint. Security leaders must move away from chasing raw alert volume and instead focus on threat-informed risk prioritization.

By selecting a CNAPP solution that pinpoints realistic attack paths and integrates seamlessly into engineering operations, enterprises can achieve robust cloud governance, accelerate software delivery, and maintain resilient posture across any cloud environment.

If on-prem deployment or India's regulatory stack is on your shortlist criteria, see how Offload Security maps to DPDP, CERT-In and RBI requirements, or read our head-to-head comparisons.

India's Digital Personal Data Protection Act — the DPDP Act, passed in 2023 — is the country's first comprehensive data protection law, and it reaches almost anyone handling the personal data of people in India. It governs digital personal data (including paper records you later digitize), and it applies extraterritorially wherever the processing relates to offering goods or services to people in India. If your product has Indian users, DPDP is your problem, whether your servers sit in Mumbai or Virginia.

One thing to get straight before you plan: the Act is enacted and the DPDP Rules, 2025 have been notified, but many substantive obligations commence in phases across a transition period rather than all at once. That is a reason to start now, not to wait — the work below takes longer than the runway.

Most DPDP guidance is written for lawyers. This one is written for the people who actually have to implement it — the engineering and cloud teams who will build the consent flows, lock down the data, and wire up breach notification. It's a practical checklist that translates the law's obligations into things you can do in your cloud environment. It is guidance, not legal advice; pair it with your counsel for the specifics of your business.

The clock is already running. The DPDP Rules were notified on 13 November 2025, starting a phased rollout. The Data Protection Board is already constituted and accepting complaints; the enforcement and penalty machinery — along with Consent Manager registration — takes effect on 13 November 2026; and full substantive compliance (notice, consent, Data Principal rights, security safeguards, breach reporting, retention, and children’s data) is required by 13 May 2027. Those are the two dates to plan against.

The vocabulary you actually need

DPDP uses a few specific terms. You only need five to get started:

• Data Principal — the individual the data is about (your user).
• Data Fiduciary — the entity that decides how and why personal data is processed (that's you).
• Significant Data Fiduciary (SDF) — a Data Fiduciary the Central Government designates as high-risk based on the volume and sensitivity of data it processes, carrying extra obligations. The thresholds have not been notified, and only the government can designate you — so treat SDF status as something to plan for, not self-declare.
• Data Processor — anyone processing data on a Fiduciary's behalf (your cloud provider, your SaaS vendors).
• Consent Manager — a DPDP-specific intermediary, registered with the Data Protection Board, through which a user can give, manage, review, and withdraw consent. India-only, and worth designing for even if you don't integrate one on day one.

The law is built on a simple principle: you may process someone's personal data only for a lawful purpose, with their consent (or a small set of "legitimate uses"), and you are accountable for protecting it the whole time you hold it.

1. Know what personal data you hold — and where

Why it matters: Every other obligation — consent, security, erasure, breach notification — depends on knowing what personal data you have and where it lives. You cannot protect, delete, or report on data you haven't mapped.

• ▢ Inventory every store that holds personal data of Indian users — databases, buckets, data warehouses, logs, backups, and third-party SaaS.
• ▢ Record, for each: what categories of personal data it holds, why (the purpose), and which vendor or region it sits in.
• ▢ Flag any data your cloud config exposes publicly — a misconfigured bucket of personal data is both a security and a DPDP problem.
• ▢ Keep the map current automatically. A quarterly spreadsheet is stale the week after you write it; this is the part teams most often operationalize with tooling.

2. Get consent right — and be able to prove it

Why it matters: DPDP requires free, informed, specific consent, preceded by a clear notice, and consent must be as easy to withdraw as it was to give. "Accept all" dark patterns won't survive scrutiny.

• ▢ Present a plain-language notice describing what you collect and why, before or at the point of collection — available in English or any Eighth Schedule language, at the user's choice.
• ▢ Capture consent per purpose — not one blanket checkbox — and store an auditable record of what was consented to and when.
• ▢ Provide a withdrawal path that is as simple as the opt-in, and stop the relevant processing when consent is withdrawn.
• ▢ Design your consent store so a registered Consent Manager can drive it later; that means consent as structured, per-purpose state you can read and revoke through an API — not a boolean buried in a user row.
• ▢ For children's data, implement verifiable parental consent and avoid tracking or targeted advertising to minors.

3. Honour Data Principal rights

Why it matters: Users have the right to a summary of the data you hold and how you process it, to correction and erasure, and to nominate someone to act on their behalf. These rights are only real if your systems can act on them, at scale, within the timeframes you publish.

• ▢ Build a request workflow for access, correction, and erasure — and make sure erasure actually reaches backups and downstream copies.
• ▢ Be able to return a summary of the personal data you hold on a user and the processing you do with it — not just a raw table dump.
• ▢ Publish a reachable grievance channel with a named contact, and track requests to resolution within your stated timeframe.
• ▢ Propagate erasure and correction to every Data Processor you shared the data with.

4. Secure the data with "reasonable safeguards"

Why it matters: DPDP requires reasonable security safeguards to prevent personal data breaches, and the penalty ceiling for failing that duty is the highest in the Act — up to ₹250 crore under Section 8(5). The law doesn't prescribe exact controls, so you map to a recognized baseline and keep the evidence.

• ▢ Encrypt personal data in transit and at rest; manage keys properly.
• ▢ Enforce least-privilege access to personal data, and log and review who accessed it — retaining those logs for at least a year.
• ▢ Continuously check cloud configuration against a benchmark like the CIS Benchmarks so "reasonable safeguards" is something you can evidence, not just assert.
• ▢ Bind every Data Processor with a contract that flows these security obligations — and breach reporting — down to them.

5. Be ready to report a breach — on two clocks

Why it matters: On a personal data breach, DPDP requires you to notify both the Data Protection Board of India and each affected Data Principal without delay, with detailed information to the Board ordinarily within 72 hours (Rule 7 of the DPDP Rules). Separately, the CERT-In Directions require reporting specified cyber incidents within 6 hours. Six hours is the deadline that actually breaks teams — and you cannot meet it if you don't know what was breached, which loops straight back to your data map (step 1). The ceiling for failing the notification duty is up to ₹200 crore under Section 8(6).

• ▢ Define what qualifies as a personal data breach, who declares it, and who is on the hook at 3 a.m.
• ▢ Maintain a runbook that can, fast, answer: what data, whose data, how much, what consequences, what mitigation, what cause.
• ▢ Pre-draft notification templates for the Board, for CERT-In, and for affected users so the clock isn't spent writing from scratch.
• ▢ Rehearse it. A tabletop exercise against the 6-hour clock will find the gaps that a document review never does.

6. Handle retention, deletion, and cross-border flows

Why it matters: You may keep personal data only as long as it serves the purpose it was collected for, then must delete it. DPDP also allows cross-border transfers except to countries the government restricts — so where data flows matters.

• ▢ Set and enforce retention periods per data category; automate deletion when the purpose ends or consent is withdrawn.
• ▢ If you run e-commerce, social media, or online gaming at the scale in the Rules' Third Schedule, build the advance pre-erasure notice for dormant accounts — a real engineering task with a real deadline attached.
• ▢ Map where personal data is transferred and stored, including by your vendors, and keep that current.
• ▢ If you may be designated a Significant Data Fiduciary, plan for the extra duties — a Data Protection Officer based in India, Data Protection Impact Assessments, and periodic independent audits.

Where to start: the first 30 days

• Week 1 — Map it. Build the personal-data inventory (step 1). Nothing else is possible without it.
• Weeks 2-3 — Secure it. Close public exposure, enforce encryption and least privilege, and get your Processor contracts in order (step 4).
• Week 4 — Rehearse it. Stand up the breach runbook and a Data Principal request workflow (steps 3 and 5), and run one tabletop against the 6-hour clock before you need it.

If you want a baseline before you start, our free DPDP readiness checker walks the same obligations as a 3-minute self-assessment — it runs entirely in your browser, and nothing you enter is sent anywhere.

The through-line

DPDP compliance isn't a separate project bolted onto security — it's data governance plus cloud security fundamentals, pointed at one question: can you account for every piece of personal data you hold, protect it, and act on it when a user or the regulator asks? The teams that will pass an audit are the ones who can see their personal data, secure it, and prove both. For the authoritative text, the Act and its rules are published by India's Ministry of Electronics and Information Technology.

Much of this is the cloud security work you may already be doing, pointed at a specific regulator — see the guide to how the cloud security categories fit together, which leans on the same inventory-and-least-privilege foundation DPDP demands. And if you'd rather run these obligations as a system than a spreadsheet, that's exactly what our DPDP compliance platform does: breach deadlines on both clocks, DPIA lifecycle, SDF classification, vendor due diligence, and regulator-ready audit packs — SaaS or fully on-premises.

Open any cloud security tool and the first thing it shows you is a number. Thousands of findings. Hundreds of them "high." A backlog no team could clear in a year, sorted by a severity score that treats every issue as if it existed in isolation. So you patch the criticals, close some tickets, and the number barely moves — because the score never told you which of those findings an attacker could actually use.

This is the gap attack path analysis closes. Instead of ranking weaknesses one at a time, it asks a different question: starting from where an attacker could get in, what is the actual sequence of steps that reaches something valuable? The answer is almost never your longest list of criticals. It is a short, specific chain — and fixing one link in it often matters more than closing a hundred unrelated tickets.

Why a severity score isn't a priority

Severity scores like CVSS describe a weakness in the abstract: how bad would this be if it were exploited under worst-case conditions? That is useful information, but it is not prioritization, because it ignores context. A critical vulnerability on an isolated host with no sensitive data and no network reachability is, in practice, a low priority. A medium-severity misconfiguration on an internet-facing box that holds credentials to your production database is an emergency.

Traditional tools can't tell those two apart, so they fall back on the score and hand you a list. The result is the familiar failure mode: alert fatigue, a backlog sorted by the wrong key, and real exposures buried among thousands of technically-valid-but-unreachable findings.

What attack path analysis actually does

Attack path analysis models your environment as a graph, not a list. Cloud resources, identities, permissions, workloads, and their relationships become nodes and edges. On top of that graph, the analysis reasons about how an attacker moves — the same techniques catalogued in frameworks like MITRE ATT&CK: initial access, then lateral movement, then privilege escalation, then access to data.

Each edge represents something an attacker could do: this public server is reachable from the internet; this vulnerability is exploitable; this compromised host can assume that IAM role; that role can read the production database. String the edges together and you have a path — a concrete, walkable route from an entry point to a target. The tool's job is to find those routes and rank them by what they reach, not by the severity of any single hop.

From a list of alerts to a walkable route

Consider a realistic example. Your scanner reports three findings, and left to its own devices it would rate all three somewhere between low and medium:

• A web server exposed to the internet — low, it's supposed to be public.
• An unpatched library on that server — medium, one of hundreds of CVEs this week.
• An IAM role attached to the server that can assume broader permissions — low, over-provisioning is everywhere.

Individually, each of these gets lost in the noise. But the graph sees that they connect: the public server can be reached, the library gives an attacker code execution on it, and the role that server carries opens a door to the database holding customer data. Three forgettable findings are actually one critical attack path — and no severity score on any single finding would have surfaced it.

Choke points: fix once, break many paths

The graph view unlocks something a list never can: it shows you where paths converge. In most environments, a handful of nodes sit on a large fraction of the dangerous routes — an over-permissioned role that many workloads can assume, a shared secret, a flat network segment. These are choke points.

Remediating a choke point is high-leverage in a way that clearing individual findings never is: tighten that one over-permissioned role and you may sever dozens of distinct attack paths at once. Attack path analysis makes this measurable — you can rank fixes not by how many tickets they close, but by how many routes to your crown jewels they eliminate. That is a fundamentally better use of a security team's limited time.

Identity is the connective tissue

Most real cloud attack paths are not a chain of software exploits — they run through identity. An attacker rarely needs a zero-day when a compromised workload carries a role that can assume another role that can read a bucket. Permissions are the edges that turn isolated weaknesses into a path.

This is why an attack path is only as good as the identity data underneath it. A tool that understands who can do what to which resource — across human users, service accounts, and machine identities — can trace routes that a purely vulnerability-focused scanner is blind to. Attack path analysis and cloud identity analysis (sometimes marketed as CIEM) are really two views of the same graph, which is one reason both have been absorbed into consolidated platforms rather than left as point tools. We covered how these categories fit together in CSPM vs CNAPP vs CWPP.

What good attack path analysis looks like

Not every "attack path" feature is equally useful. When you evaluate one, look for:

• Identity awareness — does it reason about roles, permissions, and trust relationships, or only about network reachability and CVEs? Identity is where the real paths live.
• Choke-point analysis — does it tell you which single fixes break the most paths, or just draw pretty graphs?
• Remediation simulation — can it show you, before you touch anything, which paths a proposed fix would eliminate?
• Breadth of the graph — does it span cloud, workloads, and on-prem, or stop at the edge of one cloud account? Attackers don't respect those boundaries.

Turning the graph into fewer, better fixes

The promise of attack path analysis is not more dashboards — it is less work that matters more. A shorter list, ordered by real exploitability, with the highest-leverage fixes at the top.

The Offload Platform builds this graph across cloud configuration, workloads, code, and identity — spanning cloud and on-prem — and surfaces the choke points where one change severs many routes to your data. If you're weighing platforms on how well they prioritize rather than how many findings they generate, our comparisons are a good place to start. The goal is the same one every overloaded security team is chasing: stop working the list, and start cutting the paths.

Every company is shipping AI features. Far fewer can answer a basic question: where is AI running in our environment, what data can it touch, and what happens when someone feeds it a malicious prompt? That gap is the new attack surface — and it opened faster than most security programs could react.

This is a practical checklist for closing it. It's organized around the five risks we see most often in production AI systems, each paired with concrete controls you can actually work through. It's vendor-neutral: nothing here requires a specific product, and most of it is the security fundamentals you already know, applied to a system that now talks back and takes actions. Where relevant, we map to the OWASP Top 10 for LLM Applications, the closest thing the field has to a shared reference.

The AI attack surface, in one view

Before the checklist, a mental model. Traditional apps take data in and return data out. AI systems insert a model in the middle that interprets untrusted input as instructions, reaches into your data to answer, and — increasingly — calls tools and takes actions on your behalf. Each of those is a control point.

1. Shadow AI — you can't protect what you can't see

The risk: Teams wire up LLM APIs, copilots, and agents without telling security. There's no inventory, so there's no program — just unknown integrations quietly moving your data to third parties.

The checklist:

• ▢ Maintain an inventory of every AI feature, model, and LLM API integration — treated like any other production asset.
• ▢ Record, for each: what data it receives, which provider it calls, and who owns it.
• ▢ Establish an intake path so new AI use cases are reviewed before launch, not discovered after.
• ▢ Scan code and cloud accounts for AI SDKs and API keys to catch what didn't come through intake.

2. Prompt injection — treat all model input as untrusted

The risk: The #1 entry on the OWASP LLM list. Untrusted content — a web page, a PDF, an email, a support ticket — carries hidden instructions that hijack the model into ignoring its rules, leaking data, or taking unintended actions.

The checklist:

• ▢ Separate trusted instructions (your system prompt) from untrusted data (anything a user or document supplies).
• ▢ Constrain what the model is allowed to do — least functionality, not just least privilege.
• ▢ Never let raw model output trigger a sensitive action (a purchase, an email, a database write) without a validation or human-in-the-loop step.
• ▢ Sanitize and label external content the model ingests, especially in retrieval (RAG) pipelines.
• ▢ Red-team your prompts adversarially before launch — try to break your own guardrails.

3. Data leakage — govern the whole data path

The risk: Sensitive data flows into prompts, embeddings, logs, and third-party APIs — and sometimes back out to the wrong user. The model becomes an unintended data-exfiltration channel.

The checklist:

• ▢ Classify what data is allowed into a prompt or embedding, and enforce it.
• ▢ Redact secrets and PII before they reach the model or its logs.
• ▢ Know and document each provider's data-retention and training-use policy; disable training-on-your-data where possible.
• ▢ Scope model responses to the requesting user's own authorization — retrieval must respect access control, or one user's query returns another's data.
• ▢ Treat prompt and completion logs as sensitive data, with the same access controls and retention limits.

4. Over-permissioned agents — least privilege for machines too

The risk: AI agents are getting real credentials and real actions — often with far broader access than they need. An agent with admin rights is a breach waiting for a bad prompt, because prompt injection plus excessive permissions equals real-world impact.

The checklist:

• ▢ Give each agent its own scoped identity — never a shared or human user's credentials.
• ▢ Grant the minimum permissions the task requires, and nothing broader "just in case."
• ▢ Log every action an agent takes, attributable to that agent, and monitor for anomalies.
• ▢ Put high-impact actions behind explicit approval rather than letting an agent execute them autonomously.
• ▢ Set spending and rate limits so a hijacked or looping agent can't run away.

5. The model supply chain — know what you're running

The risk: Open-weight models, datasets, and ML dependencies are pulled from public hubs with little scrutiny. A poisoned model or a malicious package inherits all the trust you place in the system it runs in.

The checklist:

• ▢ Build an AI SBOM — track the provenance of every model, dataset, and ML dependency you ship.
• ▢ Pull models and packages from trusted, verified sources; pin versions and verify integrity.
• ▢ Scan ML dependencies for known vulnerabilities and malicious packages, as you would any software supply chain.
• ▢ Vet third-party AI vendors on their own security posture before you route data through them.

Where to start: the first 30 days

You don't need to do all of this at once. If you're starting from zero, the highest-leverage sequence is:

• Week 1 — See it. Build the AI inventory (risk #1). Everything else depends on knowing what you have.
• Week 2 — Scope it. Review agent and integration permissions (risk #4). Cut the obvious over-provisioning.
• Weeks 3–4 — Test it. Red-team your highest-exposure AI feature for prompt injection and data leakage (risks #2 and #3) before an attacker does.

The through-line

AI security isn't a new discipline bolted on the side. It's asset inventory, least privilege, data governance, and supply-chain hygiene — the fundamentals — applied to a system that interprets untrusted input and takes actions. The organizations getting this right aren't the ones with the fanciest models. They're the ones who can see their AI, scope it, and test it.

For related reading on prioritizing what actually matters, see our guides on how the cloud security categories fit together and attack path analysis — the same "context over checklist-length" thinking applies to securing AI.

Every few years the cloud security industry mints a new acronym. CSPM, CWPP, CIEM, CNAPP, ASPM — the alphabet soup is now thick enough that even security leaders struggle to explain where one category ends and the next begins. The confusion is not academic. Buy the wrong tool and you end up with overlapping licenses, blind spots between products, and a dashboard for every letter of the alphabet but no single answer to the only question that matters: what is actually at risk right now, and what do we fix first?

This post untangles the three foundational terms — CSPM, CWPP, and CNAPP — explains how they relate, and offers a practical way to decide what your organization needs.

Start with what you are protecting

Cloud risk lives in a few distinct places, and each acronym grew up defending one of them:

• The configuration of your cloud accounts — IAM policies, storage buckets, security groups, encryption settings. This is the control plane.
• The workloads running inside those accounts — virtual machines, containers, serverless functions, and the vulnerable packages and malware they carry. This is the data plane.
• The identities and permissions that tie users and machines to everything above.

Keep that map in mind and the categories stop being marketing labels and start being answers to "which layer does this defend?"

CSPM: securing the cloud configuration

Cloud Security Posture Management (CSPM) continuously inspects your cloud accounts for misconfigurations and compliance violations. A public S3 bucket, an over-permissive IAM role, an unencrypted database, a security group open to 0.0.0.0/0 — CSPM finds these by reading the cloud provider's APIs and comparing your settings against benchmarks like the CIS Benchmarks, PCI DSS, or your own policies.

Misconfiguration remains the number-one cause of cloud breaches, which is why CSPM is usually the first cloud security tool an organization adopts. It is agentless, quick to deploy, and maps neatly to compliance obligations. What CSPM does not do is look inside the workload — it will tell you a server is exposed to the internet, but not that the software on that server has a critical vulnerability.

CWPP: securing the workloads

Cloud Workload Protection Platform (CWPP) covers exactly that gap. It secures the compute itself — scanning virtual machines, containers, and functions for vulnerable packages, embedded secrets, malware, and risky runtime behavior. Where CSPM reads the cloud's configuration, CWPP inspects the operating system, the container image, and the running process.

CWPP is what tells you that the exposed server is running a version of OpenSSL with a known CVE, or that a container image shipped to production carries a hardcoded API key. It is essential, but on its own it lacks the account-level context: it can see the vulnerable package but not that the host it lives on is also publicly reachable and holds admin credentials.

CNAPP: putting the pieces together

By 2021 most teams were running a CSPM tool, a CWPP tool, a separate vulnerability scanner, and often a standalone entitlements (CIEM) product — each with its own console, its own severity scale, and no shared context. Analysts coined Cloud-Native Application Protection Platform (CNAPP) to describe the consolidation: one platform that combines CSPM, CWPP, CIEM, and often infrastructure-as-code and code scanning into a single system.

The value of a CNAPP is not that it bundles the features — it is that it correlates them. A public server is a low priority. A critical vulnerability is a medium priority. But a public server running a critical vulnerability, reachable from the internet, holding an over-permissioned role that can reach your production database — that is the toxic combination worth waking someone up for. Only a platform that sees configuration, workload, and identity together can draw that line. This is the reasoning behind attack-path analysis, where the platform chains individual weaknesses into the actual route an attacker would take.

So which do you actually need?

A quick decision guide:

• Just starting, compliance-driven? Begin with CSPM. It delivers the fastest visibility and maps directly to audit requirements.
• Running significant workloads in containers or VMs? Add CWPP so vulnerabilities and secrets inside the workload don't go unseen.
• Juggling three or more separate tools and drowning in unprioritized alerts? This is the signal to consolidate onto a CNAPP. The goal is fewer consoles and, more importantly, a single prioritized view of risk.

The trap to avoid is treating these as a checklist of products to buy. The acronyms describe capabilities, not shopping-cart items. The organizations that get cloud security right are not the ones with the most tools — they are the ones whose tools share context, so a finding in one layer is understood in light of every other.

Consolidation without the blind spots

This is exactly the problem the Offload Platform was built to solve: one risk view across cloud configuration, workloads, containers, code, and compliance, with attack-path context so you fix the exposures that actually chain into a breach — not the loudest alert. If you are currently comparing consolidated platforms, our side-by-side comparisons break down how the major CNAPP vendors differ in practice.

For related reading, see our guides on the Zero Trust security model and applying the NIST Cybersecurity Framework 2.0 — both pair naturally with a strong cloud security posture.

According to CyberTechnologyInsights, 81% of organizations have fully or partially implemented a Zero Trust model, with 19% still in the planning phase. Organizations of all sizes are adopting the Zero Trust security model.

The reason is that the traditional “trust but verify” approach no longer works as traditional perimeter-based defenses are insufficient in the times of AI and LLMs. Attackers routinely bypass firewalls, run social engineer attacks, and exploit compromised credentials, misconfigured cloud environments, and vulnerable endpoints to move laterally across networks.

In the last post, we covered implementation roadmap of Zero Securtity model. In this blog post, the various aspect of Zero Trust security model and recommend the open source tools for each part of the process. 

What is Zero Trust security model?

Zero Trust is a security approach that treats every user, device, and request as untrusted until proven otherwise. In simple words, Zero Trust is a security model that assumes no one, inside or outside your network, can be trusted by default.

Why use open source tools to implement Zero Trust security?

Zero Trust requires multi-layered controls, and proprietary solutions can be expensive, especially at scale. Open source communities (e.g., CNCF, OWASP) evolve quickly to counter new threats. For Zero Trust, this means faster adoption. So open source tools can accelerate Zero Trust adoption by offering affordability, transparency, flexibility, faster innovation, and compliance support, all without vendor lock-in.

Open source to implement Zero Trust security

The Zero Trust security model is a combination of various best security practices. We’ll cover the best open source tools to use for each process.

1. Verify Explicitly

Verify explicitly means that you should always confirm a user’s identity based on full context (identity, device, location, risk), their device, and the access request using strong authentication before granting entry; there should be no assumptions or shortcuts.

Open source tools to verify explicitly:

• Keycloak → Identity and Access Management (supports SSO, OIDC, SAML, MFA).
• Authelia → Reverse proxy authentication and authorization with 2FA support.
• Dex → OIDC identity service for Kubernetes and microservices.
• FreeIPA → Identity management with LDAP/Kerberos.

When to Choose:

• Small to mid-sized apps → Authelia (lightweight, quick setup).
• Cloud-native microservices → Dex (integrates directly with Kubernetes).
• Enterprise IAM → Keycloak or FreeIPA.

Quick Start:

1. Deploy Keycloak via Docker or Kubernetes Helm chart.
2. Connect to your directory service (LDAP, Active Directory).
3. Enable OIDC and SAML for app integrations.
4. Enforce MFA using TOTP or WebAuthn.

2. Use Least Privilege Access

Using Least Privilege Access means giving users and systems only the minimum permissions they need to do their job, nothing more, reducing risk if an account is compromised.

Open source tools to implement least privilege access:

• Open Policy Agent (OPA) – Policy-as-code for APIs, Kubernetes, Terraform.
• Kyverno – Kubernetes-native policy management.
• HashiCorp Vault – Dynamic secrets management.

When to Choose:

• API-level enforcement → OPA.
• Kubernetes workloads → Kyverno.
• Secret rotation and short-lived credentials → Vault.

Quick Start:

1. Write OPA policies to enforce role- or attribute-based access.
2. Integrate OPA with API gateways or Kubernetes admission controllers.
3. Store sensitive credentials in Vault and issue dynamic short-lived tokens.

3. Assume Breach

Assume breach means always operating as if an attacker is already inside your network, so defenses are built to limit damage, detect threats quickly, and recover quickly. Design for resilience by limiting lateral movement and detecting anomalies.

Open-Source Options to follow Assume Brach policy:

• Wazuh – Open-source SIEM and threat detection.
• Suricata – IDS/IPS for network traffic analysis.
• TheHive + Cortex – Incident response and threat analysis platform.
• MITRE Caldera – Adversary emulation for breach simulation.

When to Choose:

• Real-time detection → Suricata + Wazuh.
• Incident handling → TheHive + Cortex.
• Breach simulations → MITRE Caldera.

Quick Start:

1. Deploy Suricata to monitor inbound/outbound network traffic.
2. Forward alerts to Wazuh for correlation.
3. Simulate breaches quarterly using Caldera to validate detection.

4. Continuous Monitoring and Validation

Continuous Monitoring and Validation means constantly checking user behavior, device health, and network activity in real time to ensure trust is never permanent and threats are caught early. 

Open-Source Options to continuously monitor and validate:

• Prometheus + Grafana – Metrics collection and visualization.
• Falco – Runtime security for containers and Kubernetes
• ELK/OpenSearch – Centralized logging.
• Zeek – Deep network monitoring and protocol analysis.

When to Choose:

• Container runtime → Falco.
• Network-level anomalies → Zeek.
• Full observability stack → ELK/OpenSearch + Grafana.

Quick Start:

1. Deploy Falco in your Kubernetes clusters.
2. Stream logs to OpenSearch for central analysis.
3. Build Grafana dashboards with real-time anomaly alerts.

5. Device Access Control

Device Access Control means only allowing trusted, secure, and compliant devices to connect to your network, reducing the risk of compromised or unmanaged devices gaining access. 

Open-Source Options for Device Access Control:

• osquery – Query endpoint state using SQL-like syntax.
• Kolide Fleet – Central management for osquery agents.
• Wazuh – Device posture checks.

When to Choose:

• Endpoint visibility and compliance checks → osquery (lightweight agent, versatile queries).
• Centralized management at scale → Kolide Fleet (manage 100s–1000s of endpoints).
• Integrated security posture monitoring → Wazuh (combine device health with SIEM).

Quick Start:

1. Install osquery on all endpoints.
2. Use Kolide Fleet to enforce compliance policies.
3. Integrate compliance checks into VPN or network access gateways.

6. Microsegmentation

Microsegmentation means breaking your network into smaller, isolated zones so that even if attackers get in, their movement is limited and contained. Restrict access between workloads to prevent lateral movement.

Open-Source Options to Implement Microsegmentation:

• Cilium – eBPF-based networking and security for Kubernetes.
• Istio – Service mesh with mTLS.
• Calico – Kubernetes network policies.
• Envoy – Service-to-service proxy.

When to Choose:

• Cloud-native Kubernetes workloads → Cilium (eBPF-based, scalable, fine-grained control).
• Service-to-service encryption & policy enforcement → Istio (mTLS, advanced service mesh).
• Lightweight Kubernetes network security → Calico (simpler network policy enforcement).
• Standalone service communication proxy → Envoy (service-to-service mTLS outside service mesh).

Quick Start:

1. Deploy Cilium or Istio in Kubernetes.
2. Enforce mTLS between workloads.
3. Segment workloads by namespace or label.

7. Multi-Factor Authentication (MFA)

Multi-Factor Authentication (MFA) means requiring users to prove their identity with more than one factor, like a password plus a phone code, so that stolen credentials alone can’t grant access.

Open-Source Options for Multi-Factor Authentication:

• Keycloak MFA – Built-in TOTP/WebAuthn.
• PrivacyIDEA – Centralized MFA for enterprise.
• Authelia – MFA for web apps.

When to Choose:

• Web/mobile applications with SSO → Keycloak MFA (built-in, integrates with OIDC/SAML).
• Enterprise-wide MFA across systems → PrivacyIDEA (flexible token support, enterprise-grade).
• Simple web app protection → Authelia (lightweight, integrates easily with reverse proxies).

Quick Start:

1. Choose an MFA method (TOTP, FIDO2, SMS).
2. Integrate with an SSO/IAM provider.
3. Enforce MFA for all admin and privileged accounts first.

Quick reference table for each phase:

Open-Source Zero Trust Reference Architecture

This Open-Source Zero Trust Reference Architecture illustrates a layered security approach that enforces “never trust, always verify” principles using cost-effective, community-driven tools.

Automation & Deployment

To make this Zero Trust stack scalable, we can use:

• Terraform / Ansible → Deploy policies and infrastructure as code.
• GitOps (ArgoCD / Flux) → Manage Kubernetes Zero Trust configurations.
• CI/CD Security Gates → OPA/Kyverno checks in pipelines.

Final words

Zero Trust is no longer optional; it’s the baseline for modern cybersecurity. The open-source ecosystem offers everything you need to implement Zero Trust without costly vendor lock-in.

However, choosing, implementing, and managing OSS tools can be complicated in practice. At OffloadSecurity, we help organizations design, deploy, and automate Zero Trust architectures using battle-tested open-source tools.

Whether you’re starting from scratch or enhancing an existing security posture, we can guide you from strategy to implementation. Contact OffloadSecurity experts for a free Zero Trust readiness assessment.

For over a decade, “Zero Trust” has been the buzzword in cybersecurity. You’ve probably heard the same refrain: “Never trust, always verify.” But strip away the vendor slides and the endless diagrams, and you find that Zero Trust isn’t really about technology; it’s about how and when trust is granted.

But are the traditional models not enough to gain trust? Why did Zero Trust become the most trusted security model? In this blog post, we will cover the limitations of the traditional model, how Zero Trust models help in securing the modern web, and how to implement a Zero Trust model.

Why Traditional Trust Models Fail?

The “trust but verify” model was designed for static networks. Today’s environments are borderless:

• Employees connect from coffee shops, airports, and remote locations.
• Applications run across AWS, Azure, GCP, containers, and SaaS platforms.
• Attackers use automated, persistent, and targeted methods.

Traditional models fail to maintain the security within modern infrastructure that is accessed by multiple ports, IP addresses, and networks. The Zero Trust model offers a modern alternative to traditional, perimeter-based security approaches that implicitly trust anything inside the network.

Common cloud-specific threats Zero Trust addresses:

Let’s see what Zero Trust is, how it works, and how you can implement it.

What is the Zero Trust model?

The Zero Trust model is a modern cybersecurity approach built on the principle of “never trust, always verify.” Zero Trust treats every user, device, and application as potentially compromised, requiring continuous authentication, authorization, and validation of security posture before granting or maintaining access. By enforcing granular, context-aware controls and minimizing implicit trust, it significantly reduces the attack surface and strengthens resilience against both external threats and insider risks.

Core Principles of Zero Trust

Zero Trust is not a single process but a framework composed of multiple security practices that organizations must implement. To achieve a true Zero Trust security posture, businesses should apply its core principles across all systems, users, and data.

The core principles of the Zero Trust model are:

1. Verify explicitly
2. Use least privilege access
3. Assume breach
4. Continuous monitoring and validation
5. Device access control
6. Microsegmentations
7. Multi-factor authentication

Let’s understand each one in detail.

1. Verify Explicitly

Always authenticate and authorize every access request using real-time context, such as user identity, device health, location, and data sensitivity. Don’t rely on implicit trust based on network location or device; require visible proof before granting access.

Example:

• Block access to a user logging in from a new country, even if their credentials are correct.

2. Use Least Privilege Access

Grant users and applications the minimum level of access required to perform their tasks, and nothing more. It limits the potential damage from compromised accounts or software vulnerabilities and helps contain breaches.

Best Practices:

• Implement Just-In-Time (JIT) access
• Enforce role-based access control (RBAC)
• Regularly audit and revoke stale permissions

3. Assume Breach

Design your environment with the expectation that adversaries might already have access. Limit lateral movement and blast radius by segmenting your network, monitoring aggressively, and planning for incident response in advance.

Real-World Impact:

• In the Capital One AWS breach, a lack of segmentation and misconfigured permissions allowed an attacker to exfiltrate 100M+ records. A Zero Trust approach could have blocked this lateral access.

4. Continuous Monitoring and Validation

Continuously evaluate user, device, and application behaviours. Use automated tools to verify access, monitor activity, and detect anomalies or policy violations as they occur. If you detect suspicious behaviour, you can quickly revoke or adjust access.

Tooling:

• AWS GuardDuty, Azure Sentinel, GCP SCC
• EDR/XDR tools like CrowdStrike and SentinelOne
• Anomaly detection via UEBA/SIEM

5. Device Access Control

Require all devices to be authenticated and regularly checked for compliance with security policies (such as up-to-date patches or endpoint protection) before granting them any level of access to cloud resources.

Tip: Integrate Mobile Device Management (MDM) or EDR solutions to enforce controls before allowing access.

6. Microsegmentation

Divide your cloud (and network) resources into tightly controlled segments or zones. Limit access between segments, enforce strict security policies, and use internal firewalls, security groups, or service meshes to block unauthorized movement.

Cloud Examples:

• AWS: VPC security groups + NACLs
• Azure: NSGs + Application Gateway
• Kubernetes: Istio or Linkerd service mesh

7. Multi-Factor Authentication (MFA)

Enforce MFA for all user and administrative logins, especially for privileged accounts. Use robust second factors (hardware tokens, authenticator apps), not just SMS. MFA stops many attacks that bypass passwords alone.

Advance Tactic:

• Use phishing-resistant MFA methods like FIDO2 or Passkeys instead of SMS codes.

How to adopt the Zero Trust Security Model?

Phase 1: Inventory & Identify (Foundation Building)

Objective: Gain complete visibility of what you need to protect.

Estimated timeline: 1-2 weeks

Key Actions:

• Inventory all users, devices, applications, APIs, and data stores across cloud, hybrid, and on-prem environments.
• Classify data by sensitivity (e.g., public, internal, confidential, restricted).
• Identify data flows — who accesses what, from where, and why.
• Map third-party access points and integrations (vendors, contractors, SaaS tools).

Recommended Tools:

• Asset Discovery: AWS Config, Azure Resource Graph, GCP Asset Inventory.
• Data Classification: Microsoft Purview, AWS Macie, open-source tools like Apache Atlas.
• Attack Surface Mapping: Shodan, Censys, or external ASM platforms.

Outcome: A complete, living asset map — the foundation for all trust decisions.

Phase 2: Enforce Strong Authentication (Identity First)

Objective: Ensure all identities are verified, secured, and context-aware.

Estimated timeline: 3-4 weeks

Key Actions:

• Implement MFA for all accounts — prioritize privileged/admin accounts first.
• Replace SMS-based MFA with phishing-resistant methods (FIDO2, Passkeys, YubiKeys).
• Enforce SSO (Single Sign-On) for all enterprise applications.
• Introduce conditional access policies based on device health, geolocation, and network type.
• Regularly rotate credentials, API keys, and service account secrets.

Recommended Tools:

• MFA & SSO: Okta, Azure AD, Auth0, Keycloak (open-source).
• Passwordless Authentication: Duo Passwordless, HYPR, Ping Identity.
• Identity Governance: SailPoint, Saviynt.

Outcome: Every access request is verified using strong, phishing-resistant authentication tied to context.

Phase 3: Least Privilege & Microsegmentation (Containment Layer)

Objective: Limit the damage possible if credentials or devices are compromised.

Estimated timeline: 3-4 weeks

Key Actions:

• Implement RBAC (Role-Based Access Control) and/or ABAC (Attribute-Based Access Control).
• Use Just-In-Time (JIT) access for privileged operations.
• Segment networks, workloads, and services to prevent lateral movement.
• Use service mesh (e.g., Istio, Linkerd) for workload-to-workload authentication.
• Enforce separation of duties for sensitive operations.

Recommended Tools:

• Access Management: AWS IAM Access Analyzer, GCP IAM Recommender.
• Microsegmentation: Illumio, Guardicore, Azure NSGs, AWS VPC Security Groups.
• Service Mesh: Istio, Linkerd, Consul.

Outcome: Even if an attacker breaches one component, they can’t easily move to others.

Phase 4: Behavioral & Contextual Security (Smart Trust)

Objective: Go beyond static access rules—make trust decisions adaptive to real-world conditions.

Key Actions:

• Deploy UEBA (User and Entity Behavior Analytics) to detect unusual activity.
• Establish baselines for normal user/device behavior (login times, locations, and access patterns).
• Trigger additional authentication or step-up verification when anomalies occur.
• Integrate real-time threat intelligence into access decisions.

Recommended Tools:

• UEBA & SIEM: Splunk UBA, Exabeam, Azure Sentinel, Chronicle.
• EDR/XDR: CrowdStrike Falcon, SentinelOne, Microsoft Defender XDR.
• Threat Intelligence Feeds: MISP (open-source), Recorded Future, ThreatConnect.

Outcome: Access adapts in real-time, reducing false positives while catching risky behaviour early.

Phase 5: Adaptive Trust & Automation (Self-Healing Security)

Objective: Make Zero Trust dynamic, self-updating, and measurable.

Key Actions:

• Assign real-time trust scores to all entities (users, devices, workloads).
• Automate policy updates based on trust score changes.
• Use SOAR (Security Orchestration, Automation, and Response) platforms for automated remediation.
• Continuously run breach simulations to test trust boundaries.
• Feed incident learnings back into the trust engine for continuous improvement.

Recommended Tools:

• SOAR: Palo Alto Cortex XSOAR, Splunk SOAR, Shuffle (open-source).
• Trust Scoring: Zscaler, Cisco Duo Risk-Based Authentication, custom ML models.
• Breach Simulation: AttackIQ, SafeBreach, Atomic Red Team.

Outcome: Security posture continuously improves without manual intervention; trust is never static.

Cloud Zero Trust Architecture

The Zero Trust Cloud Architecture diagram illustrates how identity, device posture, policy engines, and secure access layers work together to enforce continuous verification and least privilege across cloud workloads and data.

Compliance Mapping

Implementing zero-trust control principles helps us comply with various compliance needs. For example, Verify Explicity satisfies the security practices covered in CIS Control 6.3, and HIPAA 164.312(d). 

Similarly, in the following table, you can find the Zero Trust principle, and the corresponding compliance section it satisfies.

Closing Thought

The original idea of Zero Trust was radical because it questioned the default assumptions of network security. But its real power is not in firewalls, MFA, or microsegmentation; it’s in designing systems that never take trust for granted. From this different perspective, Zero Trust is less about never trusting and more about continuously earning trust.

In this blog post, we covered what Zero Trust is and how to adopt it. But implementing Zero Trust in a real-world environment can be challenging. That’s where we come in. Our Zero Trust consulting service helps you navigate the complexities, avoid common pitfalls, and design a security strategy that works for your business from day one.

Get in touch for a free consultation and a no-obligation discussion about your Zero Trust implementation.

Information security is the process of making sure that data, whether digital or physical, is shielded from unauthorised use, access, disclosure, interruption, alteration, inspection, recording, or destruction. The goal is to guarantee the data’s availability, confidentiality, and integrity.  Information security is achieved through a set of strategies that include the management of processes, tools, and policies necessary to prevent, detect, respond to, and recover from security incidents. Information security differs from cyber-security in that Information security aims to keep data in any form secure, whereas cyber security protects only digital data.

CIA Triad

Confidentiality: ensures information is inaccessible to unauthorised people, most commonly enforced through encryption.

Integrity: protects information and systems from being modified by unauthorised people, ensures the data is accurate and trustworthy

Availability: ensures authorised people can access the information when needed and that all hardware and software are maintained properly and updated when necessary

Authentication, Authorisation and Accountability(AAA) & Non Repudiation:

• Authentication is the process by which it can be identified that the user, which want to access the network resources, valid or not by asking some credentials such as username and password. 
• Authorisation provide capabilities to enforce policies on network resources after the user has gain access to the network resources through authentication
• Accountability provide means of monitoring and capturing the events done by the user while accessing the network resources
• Non repudiation: is the assurance that someone cannot deny the validity of something. Non-repudiation is a legal concept that is widely used in information security and refers to a service, which provides proof of the origin of data and the integrity of the data.

To secure information, organisations employ a range of measures like Physical security controls, Technical controls and Administrative controls

Physical Security Controls

Physical security controls are procedures used to keep people safe and stop illegal access to buildings, equipment, and data assets. These measures are designed to protect against external dangers like accidents, terrorism, espionage, theft, and vandalism. 

There are several types of physical security controls, which include:

1. Deterrent Controls: These are designed to discourage potential intruders from attempting to breach security. Examples include security signage, fencing, and visible security cameras.
2. Preventive Controls: These aim to prevent an incident from occurring. Examples include locks, access control systems, security guards, man-traps, and barriers.
3. Detection Controls: These are designed to identify and signal an intrusion or unauthorised access. Examples include motion detectors, intrusion detection systems, alarm systems, and surveillance cameras.
4. Delay Controls: These slow down the progress of an intruder, buying time for response teams to react. Examples include multiple layers of doors, turnstiles, and reinforced walls.
5. Response Controls: These facilitate the response to an incident once it has been detected. Examples include security personnel, alarm response protocols, and coordination with local law enforcement.
6. Environmental Controls: These are designed to protect against environmental hazards and natural disasters. Examples include fire suppression systems, HVAC systems, and seismic reinforcements.
7. Operational Controls: These include policies and procedures that define how other physical controls are used and maintained. Examples include security guard patrols, maintenance schedules for security systems, and access control policies.

Technical Controls

Technical security controls, sometimes referred to as logical controls, are technologically based safeguards for the availability, confidentiality, and integrity of data and information systems. These controls make sure that authorised users can access the data when needed and guard against unauthorised access or changes to the data. Technical controls are usually incorporated into an organisation’s entire security plan and can be either software- or hardware-based.

1. Authentication Mechanisms: These ensure that only authorized users can access systems and data. Examples include passwords, multi-factor authentication (MFA), biometrics, and smart cards.
2. Encryption: This protects data at rest and in transit by converting it into an unreadable format for unauthorized users. Examples include the use of HTTPS for secure communication over the internet and encrypting hard drives or individual files.
3. Firewalls: These act as a barrier between secure internal networks and untrusted external networks like the internet. They monitor and control incoming and outgoing network traffic based on predetermined security rules.
4. Intrusion Detection and Prevention Systems (IDPS): These systems monitor network and system activities for malicious activities or policy violations and can act to block or prevent those activities.
5. Antivirus and Anti-malware Software: These programs scan computers and networks for malicious software and can remove or quarantine threats.

1. Access Control Lists (ACLs): These lists specify which users or system processes are granted access to objects, as well as what operations are allowed on given objects.
2. Security Information and Event Management (SIEM): These systems provide real-time analysis of security alerts generated by applications and network hardware.
3. Data Loss Prevention (DLP): These systems monitor, detect, and block sensitive data while in use, in motion, and at rest to prevent unauthorized access or exfiltration.
4. Patch Management: This involves regularly updating software and systems with patches to fix vulnerabilities and improve security.
5. Network Segmentation: This practice divides a network into multiple segments or subnets, each acting as a separate network to contain security breaches and limit access to sensitive areas.
6. Secure Configuration: This ensures that systems are configured in the most secure way possible, reducing the number of potential vulnerabilities.
7. Virtual Private Networks (VPN): These provide secure remote access to an organization’s network by encrypting the connection from an end user’s device to the network.

Administrative Controls

Administrative security controls are policies, procedures, and guidelines that are established by an organization to manage and control access to information systems and to protect assets and resources. These controls are designed to ensure that the behaviour of employees and users aligns with the organization’s security requirements.

1. Security Policies: Formal statements that define how security will be implemented within an organization, including acceptable use policies, password policies, and data classification policies.
2. Procedures: Step-by-step instructions or guidelines that describe how to perform specific tasks in accordance with the organization’s policies.
3. Training and Awareness Programs: Initiatives designed to educate employees about security best practices, potential threats, and the importance of following security policies.
4. Background Checks: Pre-employment screening processes to assess the trustworthiness and suitability of potential hires.
5. Access Control Policies: Guidelines that determine who is authorized to access certain information or areas within an organization and under what conditions.
6. Incident Response Plans: Detailed plans that outline the steps to be taken in the event of a security breach or incident.
7. Risk Assessments: Processes to identify, analyze, and evaluate risks to the organization’s information and systems.
8. Change Management Procedures: Processes to manage modifications to systems, software, or processes to ensure that changes do not compromise security.
9. Audits and Compliance Checks: Regular reviews and inspections to ensure that the organization adheres to its security policies and legal/regulatory requirements.
10. Employee Termination Procedures: Steps to ensure that access rights and privileges of former employees are revoked promptly to prevent unauthorized access.

Through the process of social engineering, threat actors manipulate people into giving the access to sensitive information. Below mentioned are the common methods used for Social Engineering.

1. Phishing 
2. Baiting 
3. Quid pro quo 
4. Tail gating/Piggybacking
5. Water-Holing 
6. Shoulder Surfing 
7. Identity Theft 
8. Pretexting 
9. Honeytrap(romance scams)
10. Scareware

1. Phishing 

“Phishing” is the most common type of cyber attack that affects organisations. It is a computer scam that uses SPAM, SPIM(spam over internet messaging) & pop-up messages to trick users into disclosing private information (Social Security Number, Credit Cards, banking data, passwords, etc. Phishing can be done in many ways and to target different audiences. some of the common examples of phishing are:

a) Phone phishing (Voice phishing or Vishing): Voice phishing is a form of criminal phone fraud, using social engineering over the telephone system to gain access to private personal and financial information for the purpose of financial reward. It is sometimes referred to as ‘vishing’.

b) Email phishing: It involves gaining unauthorised access to information via email solicitation. To check for phishing please observe for the unknown return address, spelling/grammar/punctuation errors, solicitation of non-public/personal information, “urgency”, too-good-to-be-true offer, etc.

• Appears to be a legitimate
• Embedded in links emails & pop-up message
• Phishing emails often contain spyware designed to give remote control to our computer or track
• our online activities and get our login info via fake websites
• Suspicious attachment
• Unusual request
• Short and Sweet
• Sense of urgency and may be asking to skip the procedure
• Request for Credentials, Payment Information or Other Personal Details

c) SMS phishing (Smishing): SMS phishing or ‘smishing’ is another form of criminal activity using social engineering techniques, in this technique SMS is used as method to do phishing.

d) Spear phishing: It is a targeted attack where an attacker creates a fake narrative or impersonates a trusted person, in order to steal information or credentials, that they can use to infiltrate your network.

e) Impersonation attacks: Impersonation attacks are emails that attempt to impersonate a trusted individual or a company in an attempt to gain access to corporate finances or data. Business email compromise (BECs) also known as CEO fraud is a popular example of an impersonation attack.

f) CEO fraud: CEO Fraud is a type of spear-phishing email attack in which the attacker impersonates your CEO. Typically, the attacker aims to trick you into transferring money to a bank account owned by the attacker, to send confidential HR / financial information, or to reveal other sensitive information. A fake email usually describes a very urgent situation to minimise scrutiny and skepticism. The most common way in which a CEO fraud email is done is by name spoofing, in which the attacker uses the name of your CEO but a different email address.

g) Pharming: Pharming is a type of social engineering cyberattack in which criminals redirect internet users trying to reach a specific website to a different, fake site. These “spoofed” sites aim to capture a victim’s personally identifiable information (PII) and log-in credentials, such as passwords, social security numbers, account numbers, and so on

h) Whaling: Whaling attack is a targeted attempt to steal sensitive information from a company such as financial information or personal details about employees, typically for malicious reasons. A whaling attack specifically targets senior management that holds power in companies, such as the CEO, CFO, or other executives who have complete access to sensitive data.

i) Content-less emails: Content-less emails as a means of delivering malicious URLs are not new, they are effective because

Can bypass email security filters because the lack of content does not give the filters a lot to work with.

Play on the recipient’s curiosity to click on the link that leads to a malicious web page or file.

j) Non-clickable URL’s: Non-clickable URLs are activated when the user copies and pastes them into their browser. They are very effective at bypassing many email security filters because they are not live links.

k) Malicious attacks: Attackers are using popular file sharing services such as Dropbox, Google Drive and OneDrive to host malicious and phishing files.

2. Baiting

When threat actors leave a malware-infected device, such as a USB or CD, in a place where it can be easily found by someone, who would then use the infected device on their computer and accidentally install the malware, giving the threat actors access into the target’s system

3. Quid pro quo

When a threat actor requests personal information in exchange for some form of reward, i.e. money, free gift or a free service, in simple words it means ‘something for something’ 

4. Tailgating/Piggybacking

A method used to gain access to a building or other protected area. A tailgater waits for an authorised user to open and pass through a secure entry and then follows right behind. 

5. Water-holing

This technique takes advantage of websites people regularly visit and trust. The attacker will gather information about a targeted group of individuals to find out what those websites are, then test those websites for vulnerabilities. Or, you’ll be taken to a fake version of the site that is designed to steal your credentials. 

6. Shoulder surfing

It is a type of social engineering technique used to obtain information such as personal identification numbers (PINs), passwords and other confidential data by looking over the victim’s shoulder. Unauthorized users watch the keystrokes inputted on a device or listen to sensitive information being spoken, which is also known as eavesdropping. 

7. Identity theft

Identity theft is the crime of obtaining the personal or financial information of another person to use their identity to commit fraud, such as making unauthorized transactions or purchases. Identity theft is committed in many different ways and its victims are typically left with damage to their credit, finances, and reputation. 

8. Pretexting

When a threat actor impersonates as an authority figure or someone that the target would easily trust in order to get their personal information 

9. Honeytraps

A particular kind of romance fraud known as a “honeytrap” involves con artists fabricating social media and dating profiles using alluring photographs that they have stolen. Following their identification of a target, they would promptly inform their victims that they are in love with them by sending flirtatious and provocative texts. However, in order to get presents, money, or bitcoin, the victims must demonstrate that they share their sentiments. 

10. Scareware

Scareware, sometimes referred to as fraudware, deception software, or rogue scanner software, tricks victims into thinking they are in immediate danger. For instance, you can get a notification stating that a virus has infiltrated your device.

How to Avoid Social Engineering Attacks?

• Educate yourself – Do not open any emails from untrusted sources.
• Be aware of the information you’re releasing into social media
• Always use two-factor authentication
• Get creative with security questions that help with password recovery by not using easy questions that can be harvested from social media
• Watch for questions that don’t fit the pretext
• Use different logins for each service and secure your passwords with password managers
• Be especially cautious when opening attachments or clicking links if you receive an email containing a warning banner indicating that it originated from an external source.
• Always use antivirus/anti-malware solutions, 
• Monitor the dark web for exposed data, site like haveibeenpwned are useful in finding if your email is compromised 

I hope you found this blog post informative and engaging. I’d love to hear your thoughts on this post. Let’s connect and start a conversation on LinkedIn — OffloadSecurity

The  framework offers direction derived from best practices and accepted standards. It assists businesses in evaluating their present cyber-security procedures and determining the best course of action for enhancing cyber-security and cyber resilience.

CSF 1.1 vs 2.0, what has changed?

A new function “Govern” is added to 2.0, there are multiple changes into the categories and subcategories, some of the categories are re-aligned and some are removed from the latest version.

CSF 1.1 – There are 5 functions, 23 categories and 108 subcategories.

CSF 2.0 – There are 6 functions, 22 categories and 106 subcategories.

Primary components of the NIST Cybersecurity Framework (CSF) 2.0:

• Core: The core is organised into six functions. Govern, Identify, Protect, Detect, Respond and Recover, which are further divided into 22 categories and 106 subcategories. The core functions acts like kernel of system and have detailed outcome for various levels of management.
• Tiers: Tiers help organizations assess about their current state of security and how well their current cyber-security risk management practices achieve the outcomes. There are 4 tiers Partial, Risk informed, Repeated and Adaptive.
• Profiles: Profiles provide organizations with a way of optimizing the CSF to best serve their unique needs. Profiles are divided into “current” and “target” profile.

CSF Core functions

• Govern: The function Emphasize the strategic aspects of cyber-security risk management.
• Identify: The function focuses on developing an organizational understanding to manage cyber-security risk to systems, assets, data, and capabilities. 
• Protect: The function outlines the appropriate safeguards to ensure delivery of critical infrastructure services.
• Detect: The function involves the implementation of appropriate activities to identify the occurrence of a cyber-security event.
• Respond: The  function focuses on taking action regarding a detected cyber-security incident. 
• Recover: The function outlines activities to restore any capabilities or services that were impaired due to a cyber-security incident.

Implementation Tiers

The NIST Cybersecurity Framework (CSF) implementation tiers are designed to help organizations understand the maturity of their cyber-security risk management programs. The tiers range from 1 to 4, with each tier representing a different level of cyber-security maturity:

1. Tier 1: Partial: Informal practices and limited awareness of cyber-security, having limited understanding of cyber-security risks and practices.
2. Tier 2: Risk Informed: Formal policies and Risk management processes are approved, practices are regularly updated and aligned with business requirements.
3. Tier 3: Repeatable: Formal policies are defined with organizational-wide awareness, Risk management is formally approved and   processes  are implemented.
4. Tier 4: Adaptive: Continuous improvement of cyber-security practices based on lessons learned and Cyber-security is integrated into the organization’s overall risk management processes.

Profiles

Current and target state of organization and what practices to follow to reach the target state are defined. 

1. Scope the Organizational Profile: It can be whole organization or some business unit or particular product, we have to document the high level facts.
2. Gather needed information: various process to gather the information to create a profile like, Risk management, Business impact analysis, cyber security requirements, tools and practices etc.
3. Create the organization profile: Ascertain what kinds of data the chosen CSF outcomes should have in the Profile, then record the information that is required. Plan and prioritise the Target Profile with the risk implications of the Current Profile in mind. 
4. Analyze gaps and create action plan: To determine and evaluate the discrepancies between the Current and Target Profiles, perform a gap analysis. Then, create a prioritised action plan (such as a risk registry, risk detail report, or Plan of Action and Milestones to close such gaps. 
5. Implement action plan and update profile: To reach the target profile, implement the action plan with deadlines defined.

How to implement NIST CSF 2.0 on public clouds

1. Understand the Framework: Familiarize yourself with the NIST CSF 2.0, including its core functions, categories, subcategories, tiers, and profiles. This will provide a foundational understanding of the framework’s structure and objectives.
2. Assess Current State: Evaluate your organization’s current cyber-security posture in the public cloud environment against the outcomes outlined in the CSF Core. Identify strengths, weaknesses, and areas for improvement to inform your implementation strategy.
3. Create Profiles: Develop “Current” and “Target” profiles by mapping your cyber-security requirements, objectives, methodologies, and practices to the CSF Core outcomes. Conduct a gap analysis to identify areas where enhancements are needed to align with the desired state.
4. Implement Controls: Utilize the Implementation Examples provided in the CSF 2.0 to guide the implementation of specific controls and actions within your public cloud infrastructure. These examples offer practical guidance tailored to each component of the framework.
5. Governance Focus: Given the introduction of the “Govern” function in CSF 2.0, ensure that your implementation emphasizes risk management strategy, organizational context, roles, responsibilities, policies, processes, procedures, and oversight across your public cloud environment.
6. Engage Stakeholders: Involve key stakeholders within your organization in the implementation process. Collaborate with IT teams, security professionals, compliance officers, and other relevant personnel to ensure a comprehensive and effective deployment of the framework.
7. Continuous Monitoring: Implement Continuous Controls Monitoring (CCM) solutions to continuously monitor and assess your cybersecurity posture in the public cloud environment. This will help you detect and respond to security incidents promptly.

Top Benefits of the NIST Cybersecurity Framework for public clouds

The NIST Cyber-security Framework (CSF) offers several top benefits for organizations, particularly in public cloud environments:

1. Robust Security Posture: Implementing the NIST CSF helps organizations build a strong security posture in their cloud environments, reducing the risk of cyberattacks and data breaches.
2. Risk Management: The framework provides a structured approach to risk management, enabling organizations to identify, assess, and mitigate cyber-security risks effectively.
3. Regulatory Compliance: The NIST CSF can aid in meeting various compliance requirements, such as SOC2, ISO 27001, PCI-DSS, and more, ensuring that organizations adhere to industry standards and best practices.
4. Continuous Monitoring: The framework emphasizes continuous monitoring, which helps organizations detect and respond to security incidents promptly, enhancing their overall cyber-security posture.
5. Adaptability: The NIST CSF is adaptable for various types of cloud deployment, including public, private, community, and hybrid, making it suitable for a wide range of organizations.
6. Cost-Effectiveness: The framework optimizes resource usage and cost-effectiveness in securing the cloud, making it a cost-efficient solution for organizations.
7. Bridge Between Technical and Business Stakeholders: The NIST CSF serves as a bridge between technical and business-side stakeholders, facilitating effective communication and collaboration on cyber-security matters.
8. Flexibility and Adaptability: The framework is flexible and adaptable, allowing organizations to tailor their cyber-security practices to their unique needs and circumstances.
9. Future-Proof: The NIST CSF is designed to be future-proof, ensuring that organizations can adapt to evolving cyber-security threats and regulatory requirements.
10. Industry-Recognized Best Practice: The NIST CSF is widely recognized as an industry best practice, providing organizations with a comprehensive and in-depth set of controls to manage cyber-security risks effectively.

Conclusion

NIST CSF is a powerful framework which can help organization secure their sensitive information and protect them from unwanted cyber threats and cyber crimes. 

We will be publishing a series on alignment of public clouds like AWS, GCP and Azure with NIST CSF 2.0.

I hope you found this blog post informative and engaging. I’d love to hear your thoughts on this post. Let’s connect and start a conversation on LinkedIn — OffloadSecurity.