Breaking

Curated 'Awesome-AI-Security' List Resurfaces, Bundling 220+ Tools and NIST/OWASP Frameworks

June 29, 2026 at 23:12 EDT

Security
AI Agents
Open Source

The GitHub repository Awesome-AI-Security, which compiles research, frameworks, and tools for defending AI systems, is drawing renewed attention. As security risks around LLMs and autonomous (agentic) AI grow, it serves as a community-driven "Awesome list" meant to help enterprises and developers navigate a crowded landscape of standards and tools.

Open Source · AI Security

One Map for Securing AI Systems

A free, curated repository pulls governance frameworks, attack-defense matrices, research papers and tools into a single reference — built for the defensive (blue team) side as enterprises race to adopt AI.

Free

Public & open — Markdown, open to pull requests

Domains in the CSA AI Controls Matrix

243

Control objectives mapped in AICM

Core resources mapped in one place

Frameworks, vulnerability lists and attack taxonomies, side by side

NIST AI RMF

AI risk management framework (includes Generative AI Profile)

OWASP Top 10

Vulnerabilities specific to LLMs and agentic applications

MITRE ATLAS

Attack tactics and techniques for AI systems

CSA AICM

AI Controls Matrix — 18 domains, 243 control objectives

SAIF / MAESTRO

Secure design and threat-modeling frameworks

Why the demand

Rapid enterprise AI adoption brings new threats that traditional security frameworks don't cover.

Prompt injection & adversarial attacks

Agentic threats — tool abuse

Privilege escalation in autonomous agents

Where it helps

Strong starting point for research
Easy mapping between frameworks
Demos & ATLAS/OWASP mappings are readily applicable

Limitations to note

Volume requires beginners to be selective
Commercial tools & industry-specific needs require separate research
Paper list is primarily in English

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