◎ Platform · Agent Discovery

Discover All Active Agents. Before it becomes a risk.

Comprehensive discovery across all agents and platforms

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.

THE CHALLENGE

You cannot govern what you have not found.

AI agents are deployed faster than governance can track. For example, a developer may spin up a LangChain agent on Tuesday, a team may connect to Copilot Studio on Thursday, and a data scientist may build a Databricks Genie space on Friday. Most never make it into a registry, and likely never will.

This isn't a people problem. It's an infrastructure gap. Governance can't rely on self-reporting; discovery needs to happen automatically.

THE SOLUTION

Comprehensive discovery across all agents and platforms.

You can't observe agents you haven't found or enforce policy on agents you don't know exist. Discovery comes first.

Trust3 AI continuously scans connected platforms to maintain a live inventory of every agent — who built it, what it can access, which identity it runs under, and whether it's registered or shadow. Observability monitors that inventory, and Security enforces against it.

CORE CAPABILITIES

Automated discovery. Across any platform.

01
Automated Agent Discovery

Connects to your platforms. Finds agents automatically.

Trust3 AI connects directly to your existing platforms and automatically discovers every AI agent running across your environment. It pulls signals from CloudTrail logs, platform APIs, SDK activity, and audit trails into a single control plane.

If an agent is running in your infrastructure, it gets found — no manual reporting, no blind spots.

02
Real-Time Visibility Into Every AI Agent

Always know what exists. And where it's operating.

You get a continuously updated view of all agents across your data stack, so you always know what exists and where it's operating. No spreadsheets, no waiting on teams to self-report. Discovery runs in the background, keeping governance aligned with how fast AI is actually being deployed.

03
Expose Shadow AI Across Infrastructure

Shadow AI isn't on the edge. It's already inside.

Shadow AI isn't just rogue tools on the edge. In most enterprises, it's agents your teams built and deployed on approved infrastructure like Databricks, Bedrock, and Copilot Studio, but were never registered with governance. Trust3 AI continuously scans these systems and surfaces them as soon as they appear.

04
Find Unregistered LLM Activity Instantly

Every org-level API call. Visible and attributed.

You get visibility into agents using org-level API keys for models like OpenAI or Anthropic. Every call shows up in your inventory with ownership gaps and risk context, giving you the ability to triage issues as they appear instead of discovering them during audits.

05
Live Inventory

Continuous and complete inventory. Live and always current.

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
PlatformWhere the agent runs — Databricks, Bedrock, Salesforce, or custom infrastructure
OwnerWhich team or individual is responsible
IdentityWhich service principal or account the agent operates under
Data accessWhich resources the agent can reach
Trust ScoreIts current posture, from 0 to 100
StatusRegistered, unowned, or shadow AI

Inventory is sortable, filterable, and searchable. One surface for your entire agent estate.

06
Trust Score

A Trust Score. For every agent.

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 Compliance35%Whether the agent violates active access or compliance policies
Scope Adherence25%Whether the agent operates within its declared purpose
Security Posture25%Identity strength, permission hygiene, and over-provisioning risk
Behavioral Baseline15%Deviation from established usage patterns
Four trust bands
Trust band Meaning
TRUSTEDOperating within all policies, with no active violations
MONITOREDMinor issues detected, within acceptable range
AT RISKActive violations or significant drift, requires attention
UNTRUSTEDCritical violations, should not be in production

The score updates continuously as new activity is traced and policies are evaluated.

07
Identity Mapping

Map every agent identity. Know what it can do.

Every agent has an identity, and you should know what it can do. AI agents run on real credentials like service principals, service accounts, and API keys, each with real access across your stack. Trust3 AI maps these identities automatically so you can see what each agent can reach, who owns it, and where permissions go beyond intent.

  • Service principal to permissions, mapped automatically
  • Over-permission detection for agents with access beyond declared scope
  • Ephemeral identity tracking for short-lived agents and dynamic service accounts
  • Delegated identity chains, including when one agent acts on behalf of another
  • Full identity chain: owner, credential, and reachable resources
◎ Ask Your Inventory

Need a quick answer? Ask in plain English.

Trust3 returns answers grounded in your live inventory, with links to the records. No SQL, no filters, no waiting for a report.

  • "How many unregistered agents are in Databricks?"
  • "Which agents have no owner?"
  • "Show every AT RISK agent."

Your agent estate is larger than you think. Start with discovery.

One Control Plane for any agent, any data. Discovery is where it begins.

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