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AccuKnox

Zero Trust runtime security for Kubernetes and AI

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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

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