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Find every agent across your AI platforms
Agent Scanner finds every agent across your connected AI platforms, so high-risk agents get reviewed first.
Request a demoAgents are outpacing governance
Today, many organizations are deploying agents and have approved citizen developer platforms to enable employees to create custom agents. Every day, hundreds or thousands of agents are getting created in these platforms with little human oversight.
Governance teams built for a dozen reviews a month now face an exponentially growing challenge. Governance of these agents needs to be a risk-based exercise to understand which agents require governance and which ones do not. Otherwise, AI governance cannot scale.
for a typical, manual AI review
How Agent Scanner works
Trustible's Agent Scanner connects into all of your enterprise AI platforms to find every agent your teams build, understands what it can do, and triages its risk automatically. Low-risk agents may not require review. Risky ones move through to governance.
Connect
All enterprise AI platforms connected through read-only configurations.
Discover
Every agent from every AI platform lands in one live feed.
Triage
Every agent automatically scored for risk level based on agents' abilities.
Govern
Triaging workflows to turn a discovered agent into a governance artifact.
Discovery doesn't stop at the first scan.
Every scan surfaces new agents, retired agents, and changed capabilities.
Each signal activates risk scores.
Agent Scanner uses AI to assess each agent's risk from what it can actually do. The assessment framework is built by Trustible's AI research and policy experts, and scoring runs automatically across our five risk categories. Your reviewers can confirm or override any score.
One new capability can change an agent's risk.
Builders keep extending agents after approval, usually without triggering a new review. Agent Scanner catches each change and shows which risks moved.
Agent Scanner
- Refund Resolution AgentPayments API, fully autonomousHigh, full reviewCreate use case
- Meeting Notes SummarizerFile search onlyLow, fast-trackCreate use case
Refund Resolution Agent
Bedrock AgentCore · Claude Sonnet · Customer OperationsChange detected in HR Policy Assistant
Approved Jul 14 · UC-0142- + HR connector: update worker recordsMaterial
- ~ Instructions updatedReview
- = Model and email tool unchangedNo change
Where the data comes from
Agent Scanner starts with the platforms where enterprises build agents, then extends to the other places AI shows up in your environment.
Connected today
Agent builder platforms
- Amazon Bedrock AgentCore
- Microsoft Foundry
- Microsoft Copilot Studio
- Google Cloud Agent Platform
- Anthropic Claude Enterprise
- More AI platforms added every month
Agent ScannerReads configuration and metadataInto your AI Inventory
What it detects
- Agents and their instructions
- Tools and MCP servers
- Knowledge sources and skills
- Foundation models
- Projects and workspaces
- More AI asset types over time
Custom connectors
Bring in agents from internal or specialized platforms.
Security tools
AI usage signals from the security tools you already run.
Device management
AI apps and assistants installed on managed devices.
Three ways to build and
populate your AI inventory
Agent Scanner adds a third way data reaches Trustible. Together with intake and Trustible's own intelligence, it keeps every AI system's record complete and in sync.
Manual intake
- Business purpose
- Accountable owner
- Affected people
Agent Scanner
- Every agent and capability
- Connections and models
- Changes since approval
Vendor and model insights
- Model evaluations
- Vendor profiles
- Incident and regulatory intelligence
One record per AI systemIn your AI Inventory
- Risk scored across five categories
- Linked use cases, models, and vendors
- Updated as scans and reviews run
- A full audit trail of every change
The Agent Scanner,
built into the Trustible platform
Scanned agents flow through the same inventory, workflows, and risk logic as every other AI system you govern.
AI Inventory
Agents linked to their use cases, models, and vendors.
Automated workflows
Drafted intake proposals and change reviews, triggered by new capabilities.
Risk management
The same attributes and rules that score your intake.
Insights taxonomies
Agentic risks and mitigations suggested for each agent.
Model and vendor evaluations
Each agent's model linked to Trustible's evaluations.
Reporting and dashboards
Agent counts and risk posture for leadership.
Frequently asked questions
What is an agent scanner?
An agent scanner connects to the platforms where AI agents are built, finds every agent, and records what each one can do. Trustible's Agent Scanner adds risk triage on top.
Does Agent Scanner change or run my agents?
No. It only reads agent configurations, through access you control.
Do you need our prompts, outputs, or telemetry?
No. Agent Scanner works from configuration metadata only. It never needs model inputs or outputs, conversations, or runtime logs.
Does it replace AI intake?
No. Intake captures context a scan can't see, like business purpose and accountability. Agent Scanner finds agents that skipped intake and drafts their proposals.
Who makes the final call?
Your reviewers. Trustible recommends a risk level and governance path, and every score can be confirmed or overridden with a documented rationale.