AccuKnox is a comprehensive cloud-native application protection platform built on KubeArmor, the open-source CNCF runtime security engine with 1 million+ downloads. The platform delivers Zero Trust security for Kubernetes, containers, VMs, and serverless environments using eBPF technology for kernel-level runtime monitoring without modifying application code. Backed by research from Stanford and SRI International with an R&D partnership with the U.S. Department of Defense, AccuKnox holds 15+ patents in cloud-native security and has secured 18,000+ assets for customers including enterprise deployments across GCP, VMs, and Kubernetes.
The runtime security capabilities are the core differentiator. AccuKnox leverages eBPF to observe exactly what happens inside workloads in real time — processes executing, files accessed, network connections established. KubeArmor enforces granular security policies at the kernel level using Linux Security Modules (AppArmor, SELinux, BPF-LSM) without requiring kernel modifications. This inline preemptive approach blocks attacks like container breakouts, cryptojacking, and hidden processes as they happen, rather than detecting them after the fact.
The Runtime Verified feature is a standout innovation. In production Kubernetes clusters, traditional vulnerability scanners generate thousands of findings, most of which are theoretical because the vulnerable packages are never actually executed. AccuKnox correlates CVE data with live runtime telemetry to surface only vulnerabilities that are provably active in your environment. In a real deployment, this reduced 22,267 findings to 1,510 — approximately a 100x reduction in vulnerability noise. External enrichment from CISA KEV, EPSS, GitHub proof-of-concept links, and NVIDIA advisories further prioritizes findings by real-world exploitability.
The platform auto-generates Zero Trust policies by analyzing workload behavior, creating least-privilege security configurations that are enforced through AppArmor, Seccomp, and Kubernetes native controls. This automation eliminates the manual policy creation burden that makes Zero Trust impractical for most organizations. Network micro-segmentation, API security with schema validation and rate limiting, and secrets scanning across CI/CD pipelines and Kubernetes environments complete the protection surface.
Platform support is enterprise-grade. AccuKnox runs on OpenShift, EKS, AKS, GKE, VMware Tanzu, Nutanix Karbon, and other major Kubernetes distributions. Multi-cloud, private cloud, hybrid cloud, and air-gapped deployments are all supported. CI/CD integration scans IaC, Helm charts, Kubernetes manifests, and container images before deployment. CSPM provides real-time posture assessment across AWS, Azure, GCP, and Kubernetes. Compliance reporting covers CIS benchmarks, HIPAA, GDPR, SOC 2, STIG, MITRE, and NIST frameworks.
AI and ML workload security is a newer focus. AccuKnox extends protection to Jupyter notebooks, model artifacts, training pipelines, and inference endpoints. This addresses the growing attack surface created by AI workloads that handle sensitive data, API tokens, and model parameters. The combination of runtime security for GPU-accelerated workloads with AI-specific governance aligns with emerging regulatory requirements around responsible AI deployment.