AI Agent Discovery & Inventory Tools

When to explore this layer

Start an inventory evaluation when teams cannot explain which agents exist, who owns them, or where they run. Separate the assets a tool can actually observe from those it infers. An empty result for an unconnected environment should not look like proof that no agents exist there.

ILLUSTRATIVE EVALUATION · NOT A CUSTOMER RESULT

Put a real task in the demonstration.

Place a fictional test agent in an approved development environment and another in a separately scoped sandbox. Ask the vendor to identify which surfaces it can see, how each agent was found, and how a duplicate identity is reconciled. Remove one asset and inspect how long the inventory takes to reflect that change.

Questions to bring to the demonstration

1. Which environments and identity types are observed, and which remain outside coverage?
2. What evidence makes this asset an agent rather than a service account or application?
3. How are owner assignments established and unowned assets queued for review?
4. Can changes and deletions be distinguished from a connector that stopped reporting?

Evidence to request

• A connector coverage map
• Discovery provenance and last-seen timestamps
• An ownership and duplicate-resolution record

Record what was demonstrated, what was only described, and what remains unknown. Preserve the product version, environment and date beside each observation.

Where this layer stops

Finding an agent does not establish its business purpose or prove its permissions are appropriate. Connect inventory to access review and work ownership. Avoid treating discovery coverage as a security or compliance verdict.

Connect it to the work

The upstream question is why the agent exists: which person's duty and which task justify it? A work map can supply that business context while inventory tools report the assets they observe.

Read our perspective on the demand side of agents →