Policy Enforcement
Top open-source Policy Enforcement AI systems, agents, and MCP tools.
Discover and install verified Policy Enforcement AI systems, autonomous agent skills, and Model Context Protocol servers on AIStoreHub. Reusable, security-scanned, and ready for 1-click execution in Cursor, Claude Code, and terminal workflows.
Available AI Systems & Skills (9)
Open in Advanced FilterGovern consequential AI agent actions in Docker with deterministic policy, human approval, and signed Decision Dossiers.
Local-first, open-source security gateway for AI coding agents. Enforce tool-call policies, detect secrets, and audit actions on-device.
A native policy enforcement layer for AI coding agents. Built on OPA/Rego.
Observability and enforcement for AI agent harnesses. Capture every run and runtime reliability with policy enforcement.
Security operations toolkit for AI coding agents. Give Claude Code 25+ skills to catch vulnerabilities, scan containers, detect secrets, and enforce policies automatically.
Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device.
The action firewall for AI agents. Enforce policy and human approval before risky tool calls, shell commands, workflows, and production changes, with auditable evidence.
Security control plane for AI agents — identity and delegation, capability policy, data-flow taint and a live audit trail, enforced over MCP. Guards a real Claude Code end to end.
The AI control plane for every agent in your enterprise, built around an enterprise-grade MCP gateway. Give each team one governed path to its MCP servers, provisioned by role from the IdP you already run, with security policy enforced on every action.
Build & Monetize for Policy Enforcement
Have you created an autonomous agent, MCP server, or Claude Code skill for Policy Enforcement? Publish it to AIStoreHub with dual-currency checkout (USD $ + INR ₹) and earn 85–90% net revenue.