Agentic LLM Vulnerability Scanner / AI red teaming kit 🧪
A comprehensive reference for securing Large Language Models (LLMs). Covers OWASP GenAI Top-10 risks, prompt injection, adversarial attacks, real-world incidents, and practical defenses. Includes catalogs of red-teaming tools, guardrails, and mitigation strategies to help developers, researchers, and security teams deploy AI responsibly.
LLM security and privacy
LMAP (large language model mapper) is like NMAP for LLM, is an LLM Vulnerability Scanner and Zero-day Vulnerability Fuzzer.
User prompt attack detection system
🛡️ Discover and analyze critical vulnerabilities in Meta AI's Instagram Group Chat, ensuring robust security through comprehensive testing and reporting.
Bug bounty report demonstrating prompt injection and command execution vulnerabilities in Meta AI's Instagram Group Chat
Security scanner for local LLMs scanning LLM vulnerabilities including jailbreaks, prompt injection, training data leakage, and adversarial abuse
White-paper & talk covering benefits, risks, and mitigation frameworks for AI and LLMs in cybersecurity (NIST AI RMF, OWASP Top 10 for LLMs, MITRE ATLAS, real-world case studies)
🤖 Elevate content creation and analysis with AI Agent Team, featuring six professional AI agents for enhanced collaboration and quality.
Meta AI Bug Bounty focuses on vulnerabilities in Instagram's Group Chat feature, revealing critical security risks. Join us in improving AI safety and explore our findings on GitHub! 🐙✨
Add a description, image, and links to the llm-vulnerabilities topic page so that developers can more easily learn about it.
To associate your repository with the llm-vulnerabilities topic, visit your repo's landing page and select "manage topics."