Skip to content
#

ai-red-teaming

Here are 98 public repositories matching this topic...

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.

  • Updated Jul 30, 2026
  • Python

A curated list of MLSecOps tools and resources for securing machine learning and AI systems - adversarial ML defense, LLM security, AI red teaming, model scanning, supply-chain protection, and MLOps pipeline security.

  • Updated Jul 28, 2026
  • Astro
Awesome-Offensive-AI-Agentic-Landscape

This document curates open-source projects, academic papers, capability benchmarks, and commercial solutions (international & China) in AI penetration testing, LLM red teaming, autonomous offensive agents, and vulnerability discovery—aimed at helping researchers, security engineers, and enterprise decision-makers quickly form a holistic view.

  • Updated Jul 20, 2026

Whistleblower is a offensive security tool for testing against system prompt leakage and capability discovery of an AI application exposed through API. Built for AI engineers, security researchers and folks who want to know what's going on inside the LLM-based app they use daily

  • Updated Oct 31, 2025
  • Python

Basilisk — Open-source AI red teaming framework with genetic prompt evolution. Automated LLM security testing for GPT-4, Claude, Grok, Gemini. OWASP LLM Top 10 coverage. 32 attack modules.

  • Updated Apr 24, 2026
  • Python

Improve this page

Add a description, image, and links to the ai-red-teaming topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the ai-red-teaming topic, visit your repo's landing page and select "manage topics."

Learn more