🐊 Policy Controller for Kubernetes
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Updated
Apr 14, 2026 - Go
🐊 Policy Controller for Kubernetes
AI Agent Governance Toolkit — Policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents. Covers 10/10 OWASP Agentic Top 10.
The open agent control plane. Govern autonomous AI agents with pre-execution policy enforcement, approval gates, and audit trails. Works with LangChain, CrewAI, MCP, and any framework.
Runtime policy enforcement for AI agents. Cryptographic audit trail, human-in-the-loop approvals, kill switch. Zero code changes.
ClawLess — A serverless browser-based runtime for Claw AI Agents powered by WebContainers
API that leverages Clair to scan Docker Registries and Kubernetes Clusters for vulnerabilities
Governance gateway for AI agents — bounded, auditable, session-aware control with MCP proxy, shell proxy & HTTP API. Works with Cursor, Claude Code, Codex, and any MCP-compatible agent.
The antivirus for OpenClaw — approve dangerous actions, scan skills, block secret leaks, and keep humans in control, for safety.
INTERCEPT / Policy as Code Auditing
[DEPRECATED] Moved to microsoft/agent-governance-toolkit
Open-source firewall for AI agents. Policy engine that audits and controls what OpenClaw, Claude Code, Cursor, Codex, and any AI tool can do on your machine.
RBAC/ABAC/ReBAC policy engine for Python with policy sets, condition DSL, and hot reload
The STAPL policy language for tree-structured, attribute-based access control policies
Control every MCP tool call your agent makes. Set budgets, approvals, and hard limits across MCP servers. So your agent can do its job without breaking things. Open Source
ReleaseGuard is an open-source artifact policy engine and hardening suite. It scans, transforms, obfuscates, attests, and verifies release artifacts before they ship across every build ecosystem.
Access control for AI agents. MCP proxy + Policy Decision Point. CEL policies, RBAC, full audit trail. Any container, any sandbox.
Implementation of OASIS XACML 2.0 & 3.0 specification in Java programming language
Open source rule enforcement for AI agents. One line of code to enforce, trace, and improve.
How to build your own policy engine
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