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Solutions / Healthcare

Put AI agents to work near patient data, and prove they behaved.

Authorization, monitoring, and an immutable audit trail built for the way healthcare is regulated.

HIPAAthe US law protecting patient health informationFDA / Medical DeviceUS and EU oversight of software as a medical device (SaMD), including predetermined change-control plans and post-market monitoringHITRUSTthe common security framework health systems certify against

How Agentomy helps healthcare

01

Least-privilege by default

An unregistered agent falls back to read-only. Nothing acts on PHI without an explicit authorization tier.

02

Behavioral monitoring

Per-agent baselines flag drift and anomalies, with auto-quarantine when an agent goes off-pattern.

03

Evidence on demand

Generate readiness evidence mapped to the controls your compliance team already reports against.

In practice

Plausible scenarios

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

01

A chart summary reaches too far

A summarization agent pulls protected health information (PHI) for patients outside the care team's panel. Least-privilege enforcement blocks the access it never needed and logs it, keeping the agent inside the minimum-necessary boundary HIPAA expects.

02

A coding change with no author

A billing agent edits a clinical coding record, and later no one can say whether a person or an agent made the change. A hash-linked chain of custody attributes every read and write to a named operator and authorization tier, so the record is defensible.

03

A device-workflow agent drifts

An agent integrated with a device workflow starts behaving off-pattern. Per-agent behavioral baselines flag the drift and auto-quarantine it before a patient-safety issue develops.

04

A diagnostic model degrades on real patients

An AI diagnostic tool, the kind of software regulated as a medical device, is validated on one population and then quietly underperforms on the patients actually using it, the pattern behind a sepsis model that missed most real cases. Behavioral monitoring flags the drift from its validated baseline, so the degradation is caught in post-market use rather than after a missed diagnosis.

05

A model update ships without revalidation

A vendor pushes a new version of a clinical model outside its predetermined change-control plan, the pre-agreed limits within which the software may change. Authorization holds the update until it is validated and signed, and the change is recorded, so an unreviewed model does not begin making clinical decisions.

06

Results routed to the wrong system

An interface agent forwards lab results carrying PHI toward a downstream test system that was never authorized to hold patient data. Destination authorization refuses the route and records the attempt.

07

The auditor wants every access

A compliance review asks for a complete history of who (or what) touched a specific patient record. The tamper-evident log exports it on demand, in plain English.

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 Healthcare
  • 100% Integrity
  • 41,742 Blocks
  • SHA-256 hash-linked
Audit trail: one tamper-evident block per governance decision, hash-linked to the one before it
BlockTimestampAgentActionTierHash
41,742Today 12:42:08clinical-research-agentdata_access_requestEvaluator7f90d9f5e53f00a4
41,741Today 12:41:54patient-intake-agentoutput_validationAnalystdeafff94a99e5a13
41,740Today 12:41:37supplier-review-agentpolicy_checkBuilderfdf27563b48e77ff
41,739Today 12:40:58claims-extract-agentbehavior_driftOperator6de7c6ea7e65f717
41,738Today 12:40:21consent-draft-agenthalt_initiatedStrategistc54220472b0ae2dc
41,737Today 12:39:46care-report-agentprompt_reviewEvaluator6d3508c4bf00eb38
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?