The AI Governance Library (AIGL) is a curated collection of AI governance, risk, and security resources, including frameworks, standards, regulatory guides, and research reports. It is built and maintained by Jakub Szarmach. The latest additions appear below and update automatically.

  • by Jakub Szarmach
    Explore the OWASP AI security ecosystem in one curated collection: from LLM and agentic AI risks to MCP security, threat modeling, governance, and incident response. Discover practical frameworks, standards, and tools built through global collaboration.
  • by Jakub Szarmach
    What looks like a fresh start may carry the consequences of what came before. From bouncing universes to agentic AI, the hard governance problem is increasingly what survives across the boundary.
  • by Jakub Szarmach
    BCG report, dated August 2026, drawing on its CISO surveys of 2025 and 2026 to track cybersecurity budget growth, AI-enabled threats, adoption of AI-specific security controls and vendor consolidation.
  • by Jakub Szarmach
    Booz Allen Hamilton's Cyber Weapon Index benchmark scores 18 U.S. and Chinese frontier AI models on autonomous offensive cyber capability, with an addendum re-testing newly released models days later.
  • by Jakub Szarmach
    UK government guidance from DSIT that helps public sector teams identify, assess, score and treat AI risks across the AI lifecycle, with risk appetite levels, quantification scales, identification questions and treatment suggestions in four appendices.