Inline
PHI Controls
Redaction checks can reduce the risk of PHI reaching a model context window by acting at the point of call.
AI agents are operating inside care pathways, touching PHI, and influencing clinical decisions. Iron Gorilla adds data controls, protocol checks, and traceable evidence that support HIPAA-, HITECH-, and FDA SaMD-aligned workflows.
Automated redaction can remove patient identifiers before model calls, reducing reliance on the model to handle sensitive data correctly. Data residency is available through an Enterprise agreement.
Agents in diagnostic or triage workflows cannot act outside what they are authorized to do. Out-of-scope actions are blocked and escalated, not logged after the fact.
Agent actions across a patient encounter can be recorded and sealed as they occur, giving teams traceable evidence for OCR and internal review.
PHI enters model logs before anyone notices the misconfiguration. Triage agents accumulate demographic bias across 200,000 decisions before a disparity report surfaces. When OCR lands, the audit trail either exists or it doesn't.
"When OCR asks for the PHI exposure log, 'the model handled it' is not a HIPAA-compliant answer."
AI agents are probabilistic by nature. Iron Gorilla adds policy checks, human review, and traceable evidence so your compliance team, regulators, and board can evaluate how agent decisions were made.
Inline
PHI Controls
Redaction checks can reduce the risk of PHI reaching a model context window by acting at the point of call.
3
Regulatory Frameworks
Support controls mapped to HIPAA, HITECH, and 42 CFR Part 2 within the runtime workflow.
Low
Control Overhead
Designed for inline redaction and scope checks with low average overhead. Actual performance varies by workload and deployment.
A triage agent neutral at deployment can accumulate routing bias across millions of interactions before any disparity report catches it. Iron Gorilla tracks behavioral baselines continuously and surfaces degradation before it becomes an OCR inquiry.
Deploy governance built for the speed and stakes of clinical AI, with data controls, protocol checks, and traceable evidence.
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