AdoptAIBOMs

Just as SBOMs reshaped software supply chain security, AI Bills of Materials (AIBOMs) bring clarity to the AI supply chain, from datasets to models to deployments.

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The First Step of Securing AI is the Inventory

An AI Bill of Materials (AIBOM) is a structured inventory that documents all the components within an AI system.

It provides transparency across:

• Datasets used to train or fine-tune models.
• Models themselves, including open-source or proprietary.
• Software dependencies that support AI pipelines.
• Deployment environments where models run.

This clarity helps organizations understand not just what AI they are using, but how it was built and where risks may lie.

Why AIBOMs Matter

AI introduces powerful opportunities and complex risks. Without visibility, organizations cannot confidently manage compliance, security, or trust. An AIBOM helps organizations:

• Comply with Regulations
  Demonstrate adherence to evolving frameworks like the EU AI Act, NIST AI RMF, and DoD AI security directives.

• Strengthen Security
  Detect risky datasets, licenses, and vulnerable software dependencies.

• Build Trust
  Provide regulators, partners, and customers with proof of responsible AI practices.

• Ensure Resilience
  Respond quickly to audits, incidents, or questions about your AI supply chain.

AIBOMs and SBOMs: Building a Complete Supply Chain Picture

Securing modern AI systems requires visibility across both software and AI-specific components. Organizations should leverage AIBOMs and SBOMs together to gain a complete view of their technology supply chains:

• SBOMs map the software packages, libraries, and dependencies that underpin applications and AI pipelines.

• AIBOMs extend this visibility to cover datasets, models, and AI-specific risks that traditional SBOMs cannot capture on their own.

• Together, they provide a unified approach to supply chain security, ensuring organizations can identify vulnerabilities, validate provenance, and demonstrate compliance across both software and AI systems.

From Theory to Practice: Manifest’s Approach

At Manifest Cyber, we believe an AIBOM is not just a document, it’s a living operational artifact. We help organizations make AIBOMs actionable through a continuous, integrated approach. This practical path turns AIBOMs from a static inventory into a dynamic governance capability.

• Discover AI assets across the enterprise, including shadow AI.
• Document datasets, models, and dependencies in a structured format.
• Integrate AIBOM insights into compliance, security, and vendor risk workflows.
• Monitor continuously as AI systems evolve, ensuring audit readiness and resilience.

Manifest AI Risk module operationalizes AIBOMs, enabling organizations to move beyond theory and into practice with transparency, accountability, and trust.

FAQs

What is an AI Bill of Materials (AIBOM)?
An AIBOM is a structured inventory that provides transparency into datasets, models, software, and deployment environments.

How does an AIBOM improve AI compliance?
AIBOMs help organizations manage compliance, detect risks, and demonstrate trustworthy AI practices.

What’s the difference between SBOMs and AIBOMs?
SBOMs track software dependencies; AIBOMs go further by including datasets and models, the core of AI systems.

How do you build an AIBOM program?
Organizations can begin by inventorying AI assets, then documenting datasets, models, and dependencies before integrating AIBOMs into compliance and security workflows.

Secure your software supply chain today.

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