Target users
- AI governance teams documenting supply-chain provenance
- Security teams managing software and model supply-chain risk
- Compliance officers verifying component and license records
- ML and platform teams accountable for system composition
Feature · AI bill of materials
Capture the provenance behind every AI system with an AI bill of materials
SentinelAI generates a content-hashed AI Bill of Materials that captures the model, dataset, and framework provenance behind each AI system, flags license conflicts, and exports to CycloneDX, SPDX, and PDF.
What this area covers
The AI Bill of Materials brings supply-chain governance to AI by recording the components behind each system. It captures model, dataset, and framework provenance with content hashing, checks for license conflicts, and produces standard exports so provenance is auditable and shareable.
Related product areas
- Model registry
Maintain a governed inventory for AI models and use-case context with lifecycle state, ownership, risk posture, and supporting evidence.
- Dataset governance
Bring datasets, lineage, approvals, taxonomy-backed controls, catalog integrations, and quality gates into the AI governance workflow.
- Vendor AI governance
Register third-party AI vendors, structure due diligence, and connect external AI dependencies to internal governance records.
- Compliance workflows
Operationalize evidence collection, control tracking, remediation, and framework mapping across AI systems.
- Reports and certificates
Prepare executive reporting, audit-ready evidence views, and governance certificate workflows without overstating outcomes.
Core capabilities
Built to support production governance work
Content-hashed provenance
Generate a content-hashed AI Bill of Materials so the recorded provenance is verifiable and tamper-evident.
Model, dataset, and framework capture
Capture the model, dataset, and framework provenance behind each AI system so the full component picture is documented.
License conflict flagging
Flag license conflicts across components so incompatible terms are caught before they create downstream exposure.
Standard exports
Export the bill of materials to CycloneDX, SPDX, and PDF so provenance can be shared in established supply-chain formats.
Supply-chain governance context
Keep the bill of materials connected to the governed system record so provenance supports review, reporting, and audit.
Governance value
- Documents the components behind each AI system for supply-chain governance
- Makes provenance verifiable through content hashing
- Catches incompatible terms early through license-conflict flagging
- Shares provenance in standard CycloneDX, SPDX, and PDF formats
- Connects component records to governance review and audit
How teams use it
A practical operating flow for this feature family
Step 1
Capture components
Record the model, dataset, and framework provenance behind each AI system with content hashing.
Step 2
Check licenses
Flag license conflicts across the captured components.
Step 3
Export and share
Export the bill of materials to CycloneDX, SPDX, and PDF for review and audit.
Continue exploring
Explore how SentinelAI connects adjacent governance workflows
Model registry
Maintain a governed inventory for AI models and use-case context with lifecycle state, ownership, risk posture, and supporting evidence.
Dataset governance
Bring datasets, lineage, approvals, taxonomy-backed controls, catalog integrations, and quality gates into the AI governance workflow.
Vendor AI governance
Register third-party AI vendors, structure due diligence, and connect external AI dependencies to internal governance records.
Compliance workflows
Operationalize evidence collection, control tracking, remediation, and framework mapping across AI systems.
Reports and certificates
Prepare executive reporting, audit-ready evidence views, and governance certificate workflows without overstating outcomes.