AccuKnox is a runtime-aware ASPM platform that bundles SAST, DAST, SCA, IaC, container, and secret scanning with runtime visibility from its open-source KubeArmor project. The ASPM layer is one part of a wider Unified Zero Trust CNAPP that also covers cloud posture, workloads, and AI.
The AccuKnox console rolls findings, compliance scores, image risk, and runtime policy status into one dashboard.
What is AccuKnox?
Most ASPM tools ingest scanner output and deduce exploitability from static signals alone. AccuKnox instead runs its own runtime telemetry through KubeArmor, an eBPF and LSM-based engine that watches what workloads do in production.
That runtime view feeds the prioritization model. A vulnerable package can be marked as not reachable when the engine sees the affected code path is never invoked, which suppresses noise rather than re-sorting it.
Key features
AccuKnox positions itself as a 5-in-1 CNAPP. For AppSec teams, the relevant slice is the ASPM layer plus the scanners that feed it.
| Layer | What it covers |
|---|---|
| ASPM (AppSec) | SAST, DAST, SCA, SBOM, container, secret, IaC, and CI/CD pipeline scanning |
| Runtime (CWPP) | KubeArmor eBPF/LSM enforcement, microsegmentation, admission control |
| Cloud (CSPM) | Misconfiguration and drift detection, cloud detection and response, compliance |
| AI (AI-SPM) | Prompt firewall, AI red teaming, agentic AI and MCP security |
| Reporting | xBOM (SBOM, QBOM, CBOM, AI-BOM), CERT-IN and RBI compliance packs |
The AppSec scanners are native to the platform, so a team can start without wiring in a third-party SAST or SCA engine first. The newer AI-Accelerated SAST and Model Context Protocol (MCP) security modules extend the same pipeline toward AI-generated and agentic code.
KubeArmor: the runtime engine
KubeArmor is the open-source project that gives AccuKnox its differentiating signal. It was the first Kubernetes security engine to use BPF-LSM, and it is a CNCF Sandbox project with 2M+ downloads and roughly 2,500 GitHub stars.
It runs as a non-privileged daemonset. It uses eBPF for in-kernel observability, plus Linux Security Modules — AppArmor, BPF-LSM, or SELinux — for inline enforcement.
| Capability | What it does |
|---|---|
| Runtime visibility | Maps process, network, and file activity per workload |
| Inline mitigation | Blocks disallowed syscalls, file access, or network egress at the kernel level |
| Threat correlation | Feeds runtime telemetry into the AccuKnox ASPM prioritization layer |
| Workload coverage | Hardens containers, VMs, and IoT/Edge and 5G workloads |
Because enforcement runs through existing LSMs, KubeArmor hardens pods and containers without changing the workload or making host-level adjustments.
AI security posture
The AI-SPM module is the newer half of the platform. It adds an AI guardrail and prompt firewall, AI red teaming, AI detect-and-respond, and dedicated coverage for agentic AI and Model Context Protocol servers.
For teams shipping LLM features, this puts AI posture management under the same console as the application scanners rather than in a separate tool.
Integrations
| Type | Examples |
|---|---|
| CI/CD | GitHub Actions, Jenkins, GitLab, Azure DevOps |
| Ticketing | Jira, ServiceNow |
| Comms | Slack |
| SIEM | Splunk |
The current connector catalogue is published at accuknox.com/integrations .
When to use AccuKnox
AccuKnox suits teams that run substantial Kubernetes workloads and want runtime context built into the ASPM correlation, not bolted on. It also fits teams already using KubeArmor as an open-source runtime control who want one vendor across static scanners and runtime enforcement.
AccuKnox ships as both SaaS and on-premises, and its CERT-IN and RBI compliance packs point at regulated and public-sector buyers. It was named the #1 AI Security Startup of 2025 at Security BSides Bangalore.
If runtime context is not a priority, DefectDojo (open source) and ArmorCode (enterprise commercial) cover ASPM aggregation without the runtime layer. For a CNAPP-led ASPM, Wiz extends from the cloud side.
Pricing requires a sales conversation.