A Living Register of Every AI Asset
Regulators and boards increasingly ask a simple question: what AI are you running? The AI asset register answers it - every model, agent, and tool, with an owner, provenance, and approval state.
Illustrative product view
What the register is
The AI asset register is the durable, living inventory of the AI running in your organization - models, agents, and tools - each with an owner, provenance, and an approval state. Where discovery finds AI and the AI-BOM captures the supply-chain view, the register is the system of record you point to when someone asks what AI you run and whether it is vetted.
What each register entry holds
| Field | What it captures |
|---|---|
| Asset | The model, agent, or tool |
| Owner | Who is accountable for it |
| Provenance | Where it came from and its vendor |
| Approval state | Approved, flagged, or blocked |
| Usage | Where it is deployed |
Keeping it current
How the register stays alive
- 1
Discover
Shadow-AI discovery surfaces AI tools newly in use.
- 2
Register
Approved assets are entered with owner and provenance.
- 3
Approve
Each asset gets an explicit approved, flagged, or blocked state.
- 4
Track usage
The register records where each asset is deployed.
- 5
Review
Owners re-review as assets and their risk change.
How it connects
- Shares provenance and approval state with the AI-BOM
- Fed by shadow-AI discovery as new AI appears
- Owners tie assets to non-human identity governance
- Supports AI vendor risk reviews with provenance
Frequently asked questions
What is an AI asset register?
An AI asset register is a living inventory of every AI model, agent, and tool in use, each with an owner, provenance, and approval state. It is the system of record you use to answer what AI your organization runs and whether each piece is vetted - increasingly a question from boards, auditors, and regulators.
How is the register different from the AI-BOM?
They overlap and share data. The AI-BOM emphasizes the supply-chain view - provenance and approval across your AI components - while the asset register is the operational, living inventory of AI in use with owners and deployment. In practice they are two views of the same governed AI inventory.
How does the register stay up to date?
Shadow-AI discovery continuously surfaces new AI tools in use, approved assets are registered with owner and provenance, and owners re-review as assets change. Because discovery keeps feeding it, the register reflects the AI actually running rather than a stale point-in-time list.
Why do I need an owner on each AI asset?
Accountability. An AI asset with no owner is unmanaged - no one is responsible for its behavior, provenance, or review. Recording an owner on each entry, and flagging unowned assets, ensures every model, agent, and tool has someone answerable for it.
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Always know what AI you run
Keep a living register of every model, agent, and tool with owners and approvals.
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