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Companies adopt AI-BOMs to track models, datasets, and agents amid shadow AI concerns

The concept of a Software Bill of Materials (SBOM) is evolving to address the complexities of AI integration within enterprises, leading to the development of AI Bills of Materials (AI-BOMs). These AI-BOMs aim to provide comprehensive visibility into AI assets, including models, datasets, frameworks, and agents, and their interactions within organizational workflows. Cisco has open-sourced its AI-BOM tool and a Model Provenance Kit, which acts like a 'DNA test' for AI models to track their lineage and ensure the integrity of deployed AI systems. AI

Summary written by gemini-2.5-flash-lite from 2 sources. How we write summaries →

IMPACT Enhances enterprise visibility and security for AI assets, addressing the risks of shadow AI and ensuring model integrity.

RANK_REASON Cisco released open-source tools for AI asset visibility and model provenance tracking, which are product/tool releases.

Read on The Register — AI →

COVERAGE [2]

  1. The Register — AI TIER_1 · Jessica Lyons ·

    Shadow IT has given way to shadow AI. Enter AI-BOMs

    <h4>'If you don't have visibility, you can't understand what to protect'</h4> <p>When it comes to securing enterprise supply chains, now heavily infused with AI applications and agents, a software bill of materials (SBOM) no longer provides a complete inventory of all the compone…

  2. The Register — AI TIER_1 ·

    Shadow IT has given way to shadow AI. Enter AI-BOMs

    'If you don't have visibility, you can't understand what to protect'