Find every agent you run
Detect the ungoverned AI agents across your environment: the ones no one put on a list.
The governance layer for AI agents
Know what your AI agents are doing. Stop them when you need to. Prove it happened.
Enterprises run thousands of AI agents and can't say what they access or whether they comply. Agentomy is the vendor-neutral layer that closes the gap, across every model, framework, and cloud.
What it doesDiscover Enforce Prove
Discover. Enforce. Prove.
Policy says what should happen. Governance decides what can.
Decide what they may do
Tier-based permissions check every action before it runs, including the tool calls the MCP gateway governs on any server you already run. One command halts every agent in under a twentieth of a second.
Show a regulator it happened
A tamper-evident, hash-linked record of every governance decision, exportable to the framework you answer to.
The multi-agent era
Your agents don't work alone anymore.
Agents now share codebases, compete in markets, and pass work to one another. New behavior emerges between them: turf wars over shared work, quiet collusion, and instructions that spread like a contagion. The frontier labs have documented these risks: Anthropic in two studies, OpenAI and Hugging Face in disclosed incidents. Agentomy governs exactly this layer.
Agentic-AI regulation
The first agentic-AI regulation asks for exactly this.
Singapore's Model AI Governance Framework for Agentic AI, the world's first written for agents that act, sets out four dimensions of control: bounding risk, human accountability, technical controls across the lifecycle, and end-user responsibility. Agentomy maps to nearly every one, and goes further where the framework leaves multi-agent risk open.
See it in action
Watch governance happen in real time.
A simulated fleet of agents runs through the governance loop below: every action checked, allowed or blocked, and written to a tamper-evident record. Hit the kill switch and watch it stop.
PermissionRouter
AuditLogger
HaltProtocol
TrustAnomalyDetector
Agent Activity FeedRunning
Audit TrailChain: verified
Independently provable
Not just our word. An open benchmark you can run.
Open source · Apache-2.0Every scenario passedGovernanceBench
Passes all 235 real-world governance scenarios in GovernanceBench, the open benchmark for AI-agent governance: unauthorized actions blocked, audit trail intact, kill switch confirmed. Run it yourself.
Open source · Apache-2.0Every attack defendedVIGIL
Defends against every one of 148 documented adversarial attacks (prompt injection, agent hijacking, governance bypass) in VIGIL, an open benchmark anyone can run against any platform. 148 of 148.
GovernanceBench and VIGIL are open, Apache-2.0 benchmarks anyone can run, including against Agentomy itself. What you deploy is the commercial platform, with a free tier to start.
Built for how you're regulated
Governance framed for your world.
Same platform, led by the frameworks you answer to: from CMMC and ITAR to HIPAA, FedRAMP, and SOC 2.
Yours
Your model + agent framework
Any model provider, any agent framework, running where you already run it. You bring your own key; on self-hosted deployments it never leaves your environment, and on Agentomy-hosted plans it is encrypted at rest and used only to call your model.
Every proposed action
Agentomy
Agentomy governs every action
The control point in between. Every action is decided by five stages before it runs and verified by five more after it, and each stage adds a SHA-256 hash-linked finding to a tamper-evident record.
- Stage 1: Identity
- Stage 2: Trust
- Stage 3: Authorization
- Stage 4: Behavioral Check
- Stage 5: Content Input Scan
- Stage 6: Action Execution
- Stage 7: Output Scan
- Stage 8: Evidence Recording
- Stage 9: Drift Update
- Stage 10: Halt Evaluation
AllowedFlaggedBlocked
Yours
Your enterprise systems
Only the actions that cleared the pipeline reach your data and your systems, in your environment.
- Bring your own key
- Tenant-isolated data
- Self-hosted: nothing leaves your environment
Pricing
Start free. Scale to a dedicated deployment.
The free tier is where you prove it on your own agents. A team running a fleet in production steps up to Fleet; a deployment that has to be isolated runs Enterprise. That is the commercial product.
FreeA few scans on the shared server.
$99/moThe full scan suite.
$999/moRun a governed fleet in production.
EnterpriseA dedicated, isolated deployment.