Summary

This repository serves as a comprehensive, curated collection of resources, research, and tools dedicated to the security of Artificial Intelligence systems. It targets AI engineers, security professionals, researchers, and power users seeking to understand and mitigate risks associated with AI technologies. The primary benefit is a centralized, organized hub that significantly reduces the effort required to discover and evaluate essential AI security knowledge and tooling.

How It Works

The repository functions as an "Awesome List," meticulously organizing a vast array of AI security-related content into logical categories. This structure facilitates efficient navigation and discovery, covering foundational concepts, practical implementation guides, testing methodologies, specific toolkits, datasets, educational materials, and community resources. The curation prioritizes resources that are actively maintained and relevant to current AI security challenges.

Quick Start & Requirements

No installation or specific requirements are necessary to utilize this resource. Access is direct via the repository link.

Highlighted Details

• Extensive coverage of Best Practices, Frameworks & Controls, including NIST AI RMF, ISO/IEC 42001, OWASP AI Maturity Assessment (AIMA), OWASP LLM Security Verification Standard (LLMSVS), and CSA AI Controls Matrix (AICM).
• Detailed sections on Testing, Evaluation & Red Teaming, featuring guides from OWASP and CSA, alongside specific tools for exploit generation and AI testing methodologies.
• Dedicated areas for Agentic Systems, covering standards, governance, threat modeling, and security patterns for autonomous AI.
• A broad collection of Toolkits & Self-Assessments, including maturity models, risk management playbooks, vendor evaluation tools, and regulatory compliance checklists.
• Comprehensive lists of Datasets relevant to AI security, deepfakes, prompt injection, and secure coding.
• Resources for Courses & Certifications, highlighting training providers like SANS and professional credentials such as IAPP's AIGP.
• A rich Research section with papers, feeds, and working groups (e.g., OWASP LLM Top 10, MITRE ATLAS, CoSAI).
• Sections on Benchmarks for code security, adversarial resilience, agent misuse, and prompt injection detection.
• Information on Incident Response, including databases, guides, and regulatory reporting requirements.
• Market landscape maps and curated Blogs from industry leaders and startups in the AI security space.

Maintenance & Community

The repository is managed by AISecHub and sponsored by InnovGuard Technology Risk & Cybersecurity Advisory. Contributions are welcomed via pull requests, following the Awesome Manifesto guidelines. No direct community links (e.g., Discord, Slack) are provided in the README.

Licensing & Compatibility

The repository content is licensed under the MIT License. This license is permissive and generally compatible with commercial use and closed-source linking, allowing broad adoption and integration of the curated information.

Limitations & Caveats

As a curated list, the repository's value is dependent on the ongoing maintenance and accuracy of its listed resources. While comprehensive, it does not provide direct tooling or code but rather pointers to external projects and research. Specific tools or datasets mentioned may have their own licensing, dependencies, or hardware requirements not detailed here.