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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

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 →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

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

COVERAGE [2]

  1. The Register — AI TIER_1 English(EN) · 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 English(EN) ·

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

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