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Flash Findings

Use AIBOMs to Build an AI You Can Trust

Mon., 28. July 2025 | 1 min read

To manage risk and build trustworthy AI systems, CIOs and IT leaders must start documenting the full stack of AI components: data, models, and infrastructure, through an AI Bill of Materials (AIBOM). Integrate AIBOMs into your AI governance workflows now to boost integrity, auditability, and compliance.

Why You Should Care

Generative AI adoption is accelerating, but most organizations have little visibility into the components that power these models. This obscurity makes systems vulnerable to data poisoning, model bias, and regulatory non-compliance. An AI Bill of Materials (AIBOM) offers a comprehensive inventory, spanning datasets, models, tools, infrastructure, licenses, and ethical considerations, that clarifies what’s in your AI and who’s accountable for it.

Critically, AIBOMs serve as a risk management tool by exposing dependencies and enabling faster detection of tampering or outdated components. With regulatory pressure rising, such as the EU AI Act and U.S. NTIA guidelines, AIBOMs can help satisfy calls for transparency and independent audits. AIBOMs also improve AI maturity by creating collaboration between data science, DevOps, and security teams, while facilitating issue resolution and license tracking.

In short, AI is becoming part of your software supply chain, and ignoring what’s under the hood won’t cut it anymore. If you wouldn’t deploy software without a Software BOM, why do it with AI?

What You Should Do Next

  • Adopt AIBOM practices using tools like Protect AI’s Radar or GenAI-powered trackers.
  • Align with existing frameworks like OWASP CycloneDX or SPDX 3.0 to extend software BOMs into the AI domain.
  • Establish a cross-functional working group to define, maintain, and update your AIBOM regularly.

Get Started

  • Start with what you know. Inventory your current AI/ML projects, noting model types, training data sources, and third-party tools.
  • Use AIBOM tools. Automate BOM generation with platforms like Protect AI or build extensions from software BOMs using SPDX 3.0 or CycloneDX.
  • Loop in the right teams. Convene stakeholders from DevOps, security, and data science to ensure nothing slips through the cracks.
  • Review quarterly. Treat AIBOMs as living documents. Assign ownership and cadence to capture evolving dependencies and threats.

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