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AccuKnox

Zero Trust runtime security for Kubernetes and AI

open sourceupdated Aug 16, 2026

AccuKnox provides Zero Trust runtime threat prevention for Kubernetes and cloud workloads with an AI-powered prompt firewall to prevent LLM injection attacks. Built on the open-source KubeArmor project, it manages Kubernetes identities via policy-as-code, enforces runtime security policies, and provides real-time workload protection for AI-native infrastructure environments.

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AccuKnox delivers Zero Trust security for Kubernetes environments by enforcing runtime policies that prevent unauthorized actions at the container and pod level. Built on the open-source KubeArmor project which the team actively maintains, it provides kernel-level enforcement using LSM hooks (AppArmor, BPF-LSM) to block malicious behavior in real time rather than just detecting it after the fact. This approach ensures that even if an attacker gains access to a container, they cannot escalate privileges or access sensitive resources.

A key differentiator is the AI-specific security features including a Prompt Firewall that prevents LLM injection attacks targeting AI applications deployed on Kubernetes. As organizations increasingly deploy AI workloads in production, AccuKnox addresses the unique security needs of these environments with runtime protection that traditional network-based security tools cannot provide. Policy-as-code management enables teams to version, review, and audit their security policies through Git workflows.

AccuKnox regularly publishes security research and maintains the open-source KubeArmor core with an active community. The platform integrates with standard Kubernetes distributions, major cloud providers, and CI/CD pipelines. Enterprise pricing is quote-based, reflecting the platform's focus on organizations running production Kubernetes clusters with compliance and audit requirements.

Pricing

Quote-based enterprise pricing; KubeArmor open-source

Platforms

Kubernetes, AWS, GCP, Azure, Docker

Categories

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Use Cases

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Comparisons

AccuKnox vs Trivy vs Falco — Kubernetes Security Tools for Runtime Protection & Vulnerability Scanning

Kubernetes security requires multiple layers of defense, from image scanning to runtime threat detection. This comparison examines three leading tools that address different aspects of the Kubernetes security stack: AccuKnox as a comprehensive Zero Trust CNAPP platform with eBPF-powered runtime enforcement, Trivy as a versatile open-source vulnerability scanner for containers and infrastructure, and Falco as the CNCF graduated standard for kernel-level runtime threat detection.

AccuKnoxTrivyFalco

FAQ

What is AccuKnox?

AccuKnox provides Zero Trust runtime threat prevention for Kubernetes and cloud workloads with an AI-powered prompt firewall to prevent LLM injection attacks. Built on the open-source KubeArmor project, it manages Kubernetes identities via policy-as-code, enforces runtime security policies, and provides real-time workload protection for AI-native infrastructure environments.

Is AccuKnox free?

Yes — AccuKnox is open source and free to use. Quote-based enterprise pricing; KubeArmor open-source

Is AccuKnox open source?

Yes — AccuKnox is open source.

What are the best AccuKnox alternatives?

The top editor-verified AccuKnox alternatives are Trivy, Clerk, Snyk.

How does AccuKnox score in our review?

Our hands-on review scores AccuKnox 80/100 overall, based on speed, privacy, and developer-experience testing.