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Category explainer

What is an AI-BOM?

An AI-BOM is an AI bill of materials: a structured record of the AI models, training data, prompts, agents, tools, and generated artifacts that contribute to a software system. It supports AI development lifecycle security by making AI provenance reviewable.

What it is

  • A provenance record for AI-generated code security, including models, prompts, and agent identities.
  • A complement to the SBOM for software that includes AI-generated or AI-assisted components.
  • An evidence input for release-evidence verification: it helps reviewers reconstruct what AI contributions were part of a release.

What it is not

  • It is not a guarantee of safety. A complete AI-BOM does not prove that AI-generated code is free of risk.
  • It is not a replacement for review. It preserves provenance so review can be targeted and audited.
  • It is not a single-vendor format. Effective AI-BOM practices must be agent-neutral across IDEs, MCP servers, repos, CI, cloud, and runtime.

AI-BOM elements

ElementWhy it mattersEvidence question
ModelDefines the AI system that produced outputWhich model version was used?
Prompt / instructionInfluences the output and risk profileWhat prompt or context was provided?
Training / fine-tuning dataAffects bias, leakage, and behaviorWhat data influenced the model?
Agent / toolShows how output was generated or appliedWhich agent or tool produced the change?
Generated artifactThe code, test, or config that shippedWhat was changed and where is it recorded?
Reviewer attestationHuman or independent verificationWas the output reviewed before release?

Best for / Not best for

Best for

  • Organizations shipping AI-generated or AI-assisted code.
  • Teams that need to explain AI provenance during audits or incident review.
  • Secure AI software delivery programs that require reviewable evidence.

Not best for

  • Treating AI-BOM completeness as proof that code is safe.
  • Replacing testing, review, or verification of AI-generated changes.
  • Skipping policy binding between AI-BOM records and release decisions.

Frequently asked questions about AI-BOMs

What is an AI-BOM?

An AI-BOM is an AI bill of materials: a structured record of the AI models, training data, prompts, agents, tools, and generated artifacts that contribute to a software system. It helps teams understand provenance and reproduce the basis for AI-generated decisions.

How is an AI-BOM different from an SBOM?

An SBOM lists software components and dependencies. An AI-BOM adds AI-specific elements: models, datasets, prompts, agent configurations, and generated outputs. Both are evidence inputs; neither alone proves a release decision is justified.

Why does an AI-BOM matter for release decisions?

When AI-generated code or decisions are part of a release, reviewers need to know what models, prompts, and agents were involved. An AI-BOM provides the provenance record that makes those decisions explainable later.

Does GoSentrix generate an AI-BOM?

GoSentrix does not generate AI-BOMs, but it can consume AI-BOM and provenance signals as evidence. It evaluates whether the recorded AI lineage and review evidence satisfy customer-defined policy for a release decision.

Related reading

Agentic AppSec

Governance for AI-generated code, coding agents, and autonomous workflows.

How to secure AI-generated code

Practical guidance for governing AI-generated changes before release.

Release-evidence verification

How GoSentrix qualifies evidence for consequential software decisions.

FAQ

Canonical answers about verification, policy binding, and tool relationships.

Preserve AI provenance for every release.

GoSentrix evaluates AI-BOM and provenance signals against versioned policy so AI-generated changes can be explained and defended.

Explore release-evidence verificationRead the doctrine