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awesome-ai-security — A collection of awesome resources related AI security | Kitploit
도구/GitHubGitHub/ottosulin/awesome-ai-security
Vulnerability ScannersPenetration TestingPrivacySupply Chain SecurityLearning & EducationRed TeamingCurated ResourcesAI SecurityAdversarial Attack
GitHubottosulin/awesome-ai-security

awesome-ai-security

A collection of awesome resources related AI security

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Awesome AI Security Awesome Track Awesome List

A curated list of awesome AI security related frameworks, standards, learning resources and open source tools.

If you want to contribute, create a PR or contact me @ottosulin.

Table of Contents

  • Learning Resources
    • Reading & Guides
    • Courses, Labs & CTFs
    • Podcasts
  • Governance & Risk Management
    • Frameworks
    • Standards & Verification
    • Taxonomies, Terminology & Risk Databases
    • Checklists & Practical Guidance
  • Attack Techniques & Red Teaming
    • Adversarial ML & Classical Models
    • LLM & GenAI Red Teaming
    • Agentic AI & MCP Attack Tools
    • AI-Assisted Offensive Security
    • Steganography & Covert Channels
  • Benchmarks & Evaluations
  • Defense & Security Controls
    • Input/Output Guardrails
    • Agent Runtime Security & Sandboxing
    • MCP Security
    • Model & Artifact Scanning
    • AI-Assisted Defensive Security
    • Privacy & Confidential Computing
    • Data & Supply Chain Security
  • Agentic AI Security Skills
  • Security-Focused AI Models

Learning Resources

Reading & Guides

  • OWASP ML TOP 10
  • OWASP LLM TOP 10
  • OWASP AI Security and Privacy Guide
  • NIST AIRC - NIST Trustworthy & Responsible AI Resource Center
  • The MLSecOps Top 10 by Institute for Ethical AI & Machine Learning
  • OWASP Multi-Agentic System Threat Modeling
  • OWASP: CheatSheet – A Practical Guide for Securely Using Third-Party MCP Servers 1.0
  • OWASP GenAI Threat & Defense Compass - Reference guide mapping GenAI threats to corresponding defensive controls.
  • NCSC Guidelines for Secure AI System Development - Practical guidelines co-authored by NCSC (UK) and CISA for secure AI development, covering design, development, deployment, and operation.
  • CoSAI – Preparing Defenders for a Changing Cybersecurity Landscape - Coalition for Secure AI workstream preparing defenders for AI-era threats.

Courses, Labs & CTFs

  • Damn Vulnerable MCP Server - A deliberately vulnerable implementation of the Model Context Protocol (MCP) for educational purposes.
  • otto-support - A vulnerable MCP server implementation using mcp-go with tiered authentication (4 roles), 19 tools, and built-in sandboxed container with Claude Code for practicing privilege escalation and tool misuse.
  • OWASP WrongSecrets LLM exercise
  • vulnerable-mcp-servers-lab - A collection of servers which are deliberately vulnerable to learn Pentesting MCP Servers.
  • FinBot Agentic AI Capture The Flag (CTF) Application - FinBot is an Agentic Security Capture The Flag (CTF) interactive platform that simulates real-world vulnerabilities in agentic AI systems using a simulated Financial Services-focused application.
  • AI-Red-Teaming-Playground-Labs - AI Red Teaming playground labs to run AI Red Teaming trainings including infrastructure.
  • Damn Vulnerable LLM Agent - Intentionally vulnerable LLM agent for learning about prompt injection, tool misuse, and agent security
    • LLMVault - An open-source CTF-style LLM security lab for learning the OWASP LLM Top 10 through hands-on vulnerable exercises covering prompt injection, RAG attacks, system prompt leakage, tool misuse, and agent security.
  • AIGoat - Open-source AI security playground for LLM red teaming: 17 attack labs covering the full OWASP LLM Top 10, 9 CTF challenges, and 3 progressive defense levels, running locally with Ollama.

Podcasts

  • MLSecOps podcast
  • AI Security Podcast
  • AI Security Ops - Weekly podcasts from Black Hills Information Security exploring how AI transforms cybersecurity—covering emerging threats, tools, and trends with practical, actionable knowledge.
  • GenAI Security podcast

Governance & Risk Management

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