Topic

AIBOM

AIBOM (AI Bill of Materials) is a framework for documenting and tracking the components, dependencies, and data sources that constitute an AI system. It provides transparency into model origins, training data provenance, third-party libraries, and computational resources used in AI development. For enterprise governance, AIBOM enables organizations to manage AI supply chain risks, maintain audit trails, ensure compliance with regulations like the EU AI Act, and identify potential security vulnerabilities or licensing issues in their AI systems.

1 item

ResearchEU2026-06-28

AIBOM Generation, Agentic Action Logs, and Human Approval Gates: Anaconda's Implementation Guide Sets a Practical Governance Baseline

Anaconda has published a practitioner-focused AI governance guide recommending a cross-functional governance committee, EU AI Act-aligned risk classification, AI bills of materials (AIBOMs), and documented human approval gates for agentic AI actions. The guide provides concrete implementation steps for enterprise compliance teams, including RACI frameworks for role accountability, adversarial testing protocols, and governance automation to support scalable risk management. The guidance is oriented toward EU jurisdiction requirements but carries broad applicability for any organization building or maturing an AI governance program.

AIBOM Agentic AI Risk classification EU AI Act Governance committee