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Open-source AI penetration testing tool to find and fix your app’s vulnerabilities.

the LLM vulnerability scanner

NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.

🐢 Open-Source Evaluation & Testing library for LLM Agents

A full-stack AI Red Teaming platform securing AI ecosystems via OpenClaw Security Scan, Agent Scan, Skills Scan, MCP scan, AI Infra scan and LLM jailbreak evaluation.

The Security Toolkit for LLM Interactions

Sandbox any AI agent in seconds - zero setup, zero latency.

Sandbox any AI agent in seconds - zero setup, zero latency.

A secure low code deception runtime framework, leveraging AI for System Virtualization.

Agentic LLM Vulnerability Scanner / AI red teaming kit 🧪

A security scanner for your LLM agentic workflows

Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.

OWASP Foundation web repository

LLM guardrails & prompt injection detection for Python. Auto-instruments LangChain, CrewAI, OpenAI, LiteLLM + 8 more frameworks. PII masking, toxicity detection, policy CI/CD. One line, zero code changes.

EnigmAgent — 6-layer encrypted vault for AI agents (AES-256 + ChaCha20 + Blowfish + Fernet + 3DES + RSA). P2P sync via Gun.js. Zero cloud. Part of P2PCLAW.

AxonFlow governance for OpenAI Codex — enforce policy on terminal actions, add governed MCP checks, and keep audit trails for production coding agents