#大语言模型#HexStrike AI MCP Agents is an advanced MCP server that lets AI agents (Claude, GPT, Copilot, etc.) autonomously run 150+ cybersecurity tools for automated pentesting, vulnerability discovery, bug boun...
✨ Fully autonomous AI Agents system capable of performing complex penetration testing tasks
The CoSAI Risk Map is a framework for identifying, analyzing, and mitigating security risks in Artificial Intelligence systems. As traditional software security practices are not always sufficient for...
Jibril: A performant and low impact Linux runtime security tool agent.
#大语言模型#Client-side retrieval firewall for RAG systems — blocks prompt injection and secret leaks, re-ranks stale or untrusted content, and keeps all data inside your environment.
A professional platform that simplifies penetration testing by providing a unified dashboard for managing targets, automating scans, integrating diverse tools, and delivering AI-powered insights.
#大语言模型#Contexi let you interact with entire codebase or data with context using a local LLM on your system.
Comprehensive LLM AI Model protection | Protect your production GenAI LLM applications | cybersecurity toolset aligned to addressing OWASP vulnerabilities in Large Language Models - https://genai.owas...
Repository for machine readable AI system card
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 cata...
Secure your code in seconds. VibeSafe is an AI-native DevSecOps CLI tool that detects vulnerabilities, secrets, insecure configs, and hallucinated dependencies before they ship.
A powerful, community-curated toolkit to attack, evaluate, defend, and monitor Large Language Models (LLMs) — covering everything from prompt injection to jailbreak detection.
#大语言模型#🤖 Monitor $BTB on Twitter, engage with the community, and provide real-time information using AI-powered responses for BTB Finance.
#大语言模型#Neural patching of Mistral models via MLP.down_proj to bypass RLHF constraints – without touching the LM_HEAD.
🔍 Explore AI's role in cybersecurity through research on benefits, risks, and mitigation strategies in real-world applications.