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Solutions / Enterprise

Deploy thousands of AI agents. Know what every one of them is doing.

The vendor-neutral governance layer across every agent, model, and framework: from RPA bots to trading algorithms.

SOC 2the trust-services audit enterprises expect from their vendorsISO 27001the international information-security management standardEU AI Actthe EU's risk-based law regulating AI systemsPCI DSSthe payment-card data security standardSEC / FINRAUS rules governing algorithmic trading and market conduct

How Agentomy helps enterprise

01

Vendor-neutral

Governs agents across 24 framework adapters: AI agent frameworks like LangChain, AutoGen, and CrewAI, plus RPA, algo-trading, and cloud automation.

02

Behavioral intelligence at fleet scale

Correlated monitoring across an agent fleet, with drift detection and auto-quarantine.

03

Prove it to any regulator

One tamper-evident audit trail, exportable to the framework your auditors care about.

In practice

Plausible scenarios

Concrete ways an agent goes wrong here without governance, and the control that catches each one.

01

A refund agent exceeds its limit

At a company like a global payments platform, an agent issues customer refunds above the amount it was authorized to move. Per-action authorization limits stop the disbursement and log the attempt, so a bug or a bad prompt cannot drain an account.

02

An RPA bot wanders into the ERP

At a large manufacturer, a robotic process automation (RPA) bot built for one task starts touching procurement records in the ERP (enterprise resource planning system) outside its scope. Discovery and least-privilege confine it to exactly the systems its job requires.

03

A trading agent breaks its position limit

A trading agent begins placing orders past its position limit. Order-velocity guards and a circuit-breaker halt stop it in place before the exposure compounds.

04

One agent in a fleet of thousands drifts

Across thousands of deployed agents, one begins behaving anomalously. Correlated, fleet-scale behavioral monitoring isolates and auto-quarantines it without touching the rest.

05

The auditor wants one clean trail

An auditor asks for proof across every agent, model, and framework in use. One tamper-evident audit trail exports to the standard they care about, whether that is SOC 2 (the trust-services audit) or ISO 27001 (the international information-security standard).

Frameworks

Mapped to the frameworks you answer to.

Expand any framework to see what it means and what Agentomy provides.

See it in the record

Every action, logged and provable.

A tamper-evident, hash-linked trail of every governance decision, exportable to the framework your auditors care about. No error codes; plain-English reasons for every allow and deny.

Agentomy Command CenterFilter Enterprise
  • 100% Integrity
  • 42,938 Blocks
  • SHA-256 hash-linked
Audit trail: one tamper-evident block per governance decision, hash-linked to the one before it
BlockTimestampAgentActionTierHash
42,938Today 12:42:08sales-research-agentdata_access_requestEvaluatore851d0555faaa397
42,937Today 12:41:54support-triage-agentoutput_validationAnalyst8d06ae0cd7f4a533
42,936Today 12:41:37vendor-review-agentpolicy_checkBuilderf2116882ef41e01d
42,935Today 12:40:58finance-extract-agentbehavior_driftOperatorbc81c1ed23df50b4
42,934Today 12:40:21policy-draft-agenthalt_initiatedStrategistce0ac48d4f1c23e2
42,933Today 12:39:46report-builder-agentprompt_reviewEvaluator6258f42e06e56153
Governance events today: 12,842Demo environment
Illustrative interface with sample data, in the shipped Command Center’s structure. Not a customer environment and not a live feed.

Ready to govern your agents?