EVE for Healthcare

For healthcare and health-tech teams deploying AI agents where actions on data and workflows need deterministic control and independently verifiable records.

The problem

In healthcare settings, an AI agent that can access records, move data, or trigger actions sits inside a strict control environment. Teams need deterministic policy enforcement at the point of action and durable, checkable evidence — not the model's own account of what it did.

How EVE helps

  • Deterministic decision before the action. EVE CoreGuard makes a deterministic ALLOW / BLOCK / MODIFY decision before a governed action executes, with no LLM in the decision path.
  • Signed evidence bound to the decision. Each governed decision can produce a signed evidence record (Ed25519 in the production configuration, HMAC-SHA256 fallback), supporting evidence collection for a control file.
  • Independent verification. Signed evidence verifies independently and offline in Python, Node, or the browser without trusting the EVE server.
  • File-content governance. For document and image inputs, EVE detects the real media type from content, applies bounded safe-parsing limits, runs deterministic scanners, and blocks/quarantines/requires-approval before ingestion — emitting signed scan evidence with an artifact digest bound to the decision.
  • Sequence and budget controls. EVE can block individually-permitted actions that combine into a prohibited sequence, and enforce deterministic budget/resource limits.
  • Control mapping. EVE can map controls to frameworks descriptively and produces records useful for review.

Framing that stays accurate

EVE supports evidence collection, helps enforce policy, and can map controls to frameworks for review. It does not make a system compliant with any health regulation and does not issue certification; those determinations remain with your compliance, privacy, and legal functions.

Readiness

  • EVE SDK core is a RELEASE CANDIDATE WITH EXCLUSIONS.
  • The core governance architecture is pilot-validated; signed evidence and offline verification are SUPPORTED.
  • Artifact governance is customer-pilot ready at supported boundaries (PILOT_READY).
  • Framework adapters other than the generic adapter are experimental.

Limitations

  • EVE supports evidence collection and helps enforce policy; it does not make a system compliant with health regulations, guarantee compliance, or issue certification.
  • Deterministic scanners are pattern/structure-based; OCR/vision/QR-barcode extraction is probabilistic, disabled by default, and reported as unavailable — partial extraction is reported as partial and cannot masquerade as complete.
  • Independent verification requires the Ed25519 public key; the HMAC fallback is symmetric and not independently verifiable.
  • The pip client governs via hosted mode (requires a reachable endpoint); embedded evaluation is the EVE service.
  • Verification attests that evidence is authentic and unaltered — not that the underlying decision was correct.
Part of the EVE AI Core control plane Deterministic AI Governance Control Plane → Policy decisions that return the same result for the same input every time, before execution.