Agentic LLM Vulnerability Scanner / AI red teaming kit 🧪

Intervention layer with audit logs for OpenClaw agents. Browser-aware. Trajectory-aware. Human-routable.

This repository contains Cursor Security Rules designed to improve the security of both development workflows and AI agent usage within the Cursor environment. These rules aim to enforce safe coding practices, control sensitive operations, and reduce risk in AI-assisted development.

A plugin-based gateway that orchestrates other MCPs and allows developers to build upon it enterprise-grade agents.

A native policy enforcement layer for AI coding agents. Built on OPA/Rego.

Runtime security enforcement for AI agents and autonomous fleets. Kernel to chain. Proof, not logs. Build a Swarm Detection & Response (SDR) platform with Clawdstrike.

AI-first security scanner with 76 analyzers, 4,000+ detection rules, 508 FP filters (96.8% reduction), and 133 CVE detections for AI/ML, LLM agents, and MCP servers

Build Secure and Compliant AI agents and MCP Servers. YC W23

See what your AI agents can access. Scan MCP configs for exposed secrets, shadow APIs, and AI models. Generate AI-BOMs for compliance.

Scan A2A agents for potential threats and security issues

Agent orchestration & security template featuring MCP tool building, agent2agent workflows, mechanistic interpretability on sleeper agents, and agent integration via CLI wrappers

Security scanner MCP server for AI coding agents. Prompt injection firewall, package hallucination detection (4.3M+ packages), 1000+ vulnerability rules with AST & taint analysis, auto-fix.

Fine-grained authorization for AI agents using OpenFGA.

AIM - The open-source NHI platform for AI agents. Cryptographic identity, governance, and access control.

Open-source firewall for AI agents. Policy engine that controls what OpenClaw, Claude Code, Cursor, Codex, and any AI tool can do on your machine.

Open benchmark for AI agent security tools — prompt injection, data exfiltration, tool abuse, provenance

🦀 Security moat for AI agents. Runtime protection against prompt injection, tool misuse, and data exfiltration.

The ultimate OWASP MCP Top 10 security checklist and pentesting framework for Model Context Protocol (MCP), AI agents, and LLM-powered systems.

Local open-source dev tool to debug, secure, and evaluate LLM agents. Provides static analysis, dynamic security checks, and runtime monitoring - integrates with Cursor and Claude Code.

Secure credential management for AI agents