One Control Plane. Any agent. Any data.
Discovery finds every agent your organization is running, across every framework, cloud, and team. Most enterprises undercount their agents by three to ten times. Trust3 AI finds the ones nobody told you about.
AI agent deployment moves faster than any governance program can track.
A developer spins up a LangChain agent on Tuesday. A business team connects Copilot Studio to SharePoint on Thursday. A data scientist builds a Databricks Genie space that queries production tables on Friday.
None of them are in your registry. Most of them never will be unless something finds them automatically.
That is not a people problem. It is an infrastructure problem. Governance cannot rely on developers self-reporting. Discovery has to be automatic.
You cannot observe an agent you have not found. You cannot enforce policy on one you do not know exists.
Discovery comes first because everything else depends on it.
Trust3 AI scans every connected platform continuously and produces a live inventory: who built each agent, what it can reach, which identity it runs under, and whether it is registered or shadow. That inventory is what Observability watches and what Security enforces against.
Trust3 AI connects to your platforms and finds agents automatically. CloudTrail logs, platform APIs, SDK intercepts, and audit logs feed the Control Plane.
If an agent is running on your infrastructure, it gets found.
Shadow AI inside the enterprise is not agents on personal devices or consumer tools. It is agents built by your own teams, running on your own approved infrastructure, under your own API keys, that were never registered with governance.
Trust3 surfaces two distinct categories:
Agents running on Databricks, Bedrock, Copilot Studio, or other connected platforms but missing from your governance registry.
Agents calling Anthropic, OpenAI, or other LLM providers under org-level credentials without a registered identity.
Both show up in your inventory the moment they are discovered. Flagged, unowned, and ready for triage.
Discovery populates a live inventory of every agent your organization is running, with the context you need to act on it. Every agent record shows:
| Field | What it tells you |
|---|---|
| Platform | Where the agent runs — Databricks, Bedrock, Salesforce, or custom infrastructure |
| Owner | Which team or individual is responsible |
| Identity | Which service principal or account the agent operates under |
| Data access | Which resources the agent can reach |
| Trust Score | Its current posture, from 0 to 100 |
| Status | Registered, unowned, or shadow AI |
Inventory is sortable, filterable, and searchable. One surface for your entire agent estate.
Every discovered agent receives a Trust Score: a 0 to 100 grade reflecting its current posture across four weighted dimensions. Not a vanity metric. A signal that tells you which agents need attention and why.
| Dimension | Weight | What it measures |
|---|---|---|
| Policy Compliance | 35% | Whether the agent violates active access or compliance policies |
| Scope Adherence | 25% | Whether the agent operates within its declared purpose |
| Security Posture | 25% | Identity strength, permission hygiene, and over-provisioning risk |
| Behavioral Baseline | 15% | Deviation from established usage patterns |
| Trust band | Meaning |
|---|---|
| TRUSTED | Operating within all policies, with no active violations |
| MONITORED | Minor issues detected, within acceptable range |
| AT RISK | Active violations or significant drift, requires attention |
| UNTRUSTED | Critical violations, should not be in production |
The score updates continuously as new activity is traced and policies are evaluated.
AI agents do not have employee badges. They run under service principals, service accounts, and API keys. Real credentials. Real permissions. Real infrastructure.
Trust3 AI maps those identities and shows you exactly what each one can reach.
Trust3 returns answers grounded in your live inventory, with links to the records. No SQL, no filters, no waiting for a report.