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#

ai-security

Here are 363 public repositories matching this topic...

h4cker

This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. 🔥 Also check:https://hackertraining.org

  • UpdatedDec 11, 2025
  • Jupyter Notebook
giskard-oss

企业级 AI 编程助手,专为 研发协作 和 研发管理 场景而设计。

  • UpdatedDec 8, 2025
  • TypeScript

ToolHive makes deploying MCP servers easy, secure and fun

  • UpdatedDec 17, 2025
  • Go

A curated list of useful resources that cover Offensive AI.

  • UpdatedDec 13, 2025
  • HTML
promptmap

a security scanner for custom LLM applications

  • UpdatedDec 1, 2025
  • Python

AI Captcha Bypass

  • UpdatedNov 23, 2025
  • Python

Reconmap is a collaboration-first security operations platform for infosec teams and MSSPs, enabling end‑to‑end engagement management, from reconnaissance through execution and reporting. With built-in command automation, output parsing, and AI‑assisted summaries, it delivers faster, more structured, and high‑quality security assessments.

  • UpdatedDec 9, 2025
  • CSS

MCP for Security: A collection of Model Context Protocol servers for popular security tools like SQLMap, FFUF, NMAP, Masscan and more. Integrate security testing and penetration testing into AI workflows.

  • UpdatedDec 2, 2025
  • TypeScript

A deliberately vulnerable banking application designed for practicing Security Testing of Web App, APIs, AI integrated App and secure code reviews. Features common vulnerabilities found in real-world applications, making it an ideal platform for security professionals, developers, and enthusiasts to learn pentesting and secure coding practices.

  • UpdatedNov 23, 2025
  • Python

MCP Monitoring with eBPF

  • UpdatedDec 7, 2025
  • C

Project CodeGuard is an AI model-agnostic security framework and ruleset that embeds secure-by-default practices into AI coding workflows (generation and review). It ships core security rules, translators for popular coding agents, and validators to test rule compliance.

  • UpdatedDec 11, 2025
  • Python

RuLES: a benchmark for evaluating rule-following in language models

  • UpdatedFeb 24, 2025
  • Python

Toolkits to create a human-in-the-loop approval layer to monitor and guide AI agents workflow in real-time.

  • UpdatedNov 28, 2024
  • Svelte
llamator

AI-powered subdomain enumeration tool with local LLM analysis via Ollama - 100% private, zero API costs

  • UpdatedNov 21, 2025
  • Go

A curated list of academic events on AI Security & Privacy

  • UpdatedAug 22, 2024

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