About This Project
What is this?
The GenAI Security Literature Review is a comprehensive, community-driven, auto-updating database of research, standards, tools, and resources related to the security of Large Language Models (LLMs) and AI systems.
Currently tracking 100 resources across 46 categories in 8 domains.
How It Works
Auto-Discovery
A weekly GitHub Action queries academic APIs (arXiv, Semantic Scholar, CrossRef) for new LLM security publications. New entries are submitted as pull requests for human review before merging into the database.
Human Curation
Every entry is categorized using our taxonomy, mapped to relevant security frameworks (OWASP, NIST, MITRE ATLAS, ISO 42001), and tagged. Entries can be community-submitted via GitHub Issues.
Quality Signals
Entries marked as "reviewed" have been vetted by a human. Citation counts, open-access status, and venue information help you prioritize what to read.
Coverage
We cover the full LLM/AI security landscape:
Attacks & Threats
Offensive techniques and threat vectors targeting LLM and AI systems
Defenses & Mitigations
Defensive techniques and countermeasures for LLM security
Privacy
Privacy-preserving techniques and data protection for AI systems
Governance & Compliance
Policy, regulation, and organizational governance for AI security
Red Teaming & Evaluation
Offensive security testing and evaluation methodologies for AI
Infrastructure & Deployment
Secure deployment patterns and infrastructure security for AI systems
Agentic AI Security
Security specific to autonomous AI agents and multi-agent systems
Surveys & Meta
Survey papers, meta-analyses, and cross-cutting resources
Framework Mappings
Every entry is mapped (where applicable) to these security frameworks:
- OWASP Top 10 for LLM Applications -- the most widely adopted LLM security standard
- OWASP Top 10 for Agentic AI -- security risks specific to autonomous AI agents
- MITRE ATLAS -- adversarial tactics, techniques, and case studies for AI systems
- NIST AI RMF -- the US government's AI risk management framework
- ISO/IEC 42001 -- international standard for AI management systems
Maintainer
Emmanuel Guilherme (@emmanuelgjr) -- OWASP contributor and GenAI data security researcher.
Licensed under the MIT License.