Prove every AI decision was compliant — before an auditor asks.
EVE CoreGuard enforces your healthcare AI policy — HIPAA, ONC HTI-1, §1557 nondiscrimination — on each AI-assisted decision before the model’s output is used, and signs a replayable evidence record that an OCR or CMS auditor can verify offline. Block the use you can’t defend.
A model card won’t answer “prove this AI decision was compliant.”
AI is moving into clinical decision support, prior authorization, medical coding, patient communications, and utilization management. The problem isn’t whether the model is accurate — it’s whether you can prove, decision by decision, that it stayed inside the law. A probabilistic model plus application logs cannot show an auditor why a specific coverage or care-support action was taken, that PHI was safeguarded, that a nondiscrimination check was applied, or which policy version governed a predictive DSI.
PHI safeguard & audit-control exposure
Routing protected health information into an ungoverned model — or failing to record who decided what and why — runs against the HIPAA Security Rule’s safeguard and audit-control expectations.
Non-transparent predictive DSI
The HTI-1 final rule sets transparency and risk-management expectations for Predictive Decision Support Interventions. Outputs that shift with model version, undocumented, are hard to govern or explain.
Nondiscrimination in AI decision support
Section 1557 reaches patient-care decision support tools that use AI. Without a decision-level nondiscrimination control and record, the first time you learn of an issue may be during an investigation.
Inconsistent, undocumented use
Where AI assists clinical or coverage workflows, FDA oversight of Clinical Decision Support / Software as a Medical Device and CMS program-integrity expectations demand consistent, documented, defensible use.
Deterministic enforcement, then signed evidence — on every decision.
CoreGuard sits in front of the AI your organization runs as a governance layer. It evaluates each proposed action against
your healthcare_v1 policy pack and returns ALLOW, BLOCK, or MODIFY before the model’s output is used —
then writes a cryptographically signed record of exactly which rule fired and why. It governs and documents the AI; it is
not a medical device and not a substitute for clinical judgment.
Enforce policy before the model’s output is used
The healthcare_v1 pack encodes HIPAA / ONC HTI-1 / §1557 rules. The same input always produces the same governance decision — deterministic, not probabilistic.
Block uses that put PHI or nondiscrimination at risk
If an action would expose PHI to an ungoverned destination, or fails a §1557 nondiscrimination check, CoreGuard blocks it and records the gap — so the record you keep matches the control you claim.
Gate every model update through the Model Update Firewall
Each model change is simulated against your nondiscrimination and policy rules and blocked before promotion if it shifts outcomes for a protected class. See the EVE Model Update Firewall →
Hand the auditor a record they can verify themselves
Every decision becomes a signed, hash-chained evidence record (Ed25519 in production). Re-hash and re-verify it offline with the public key — no EVE service required. Verify a record →
One prevented compliance event pays for years of governance.
The price tag on a single healthcare-AI governance failure dwarfs the cost of the control that prevents it.
Illustrative ranges drawn from public HIPAA civil-penalty tiers, published OCR settlements, and civil-rights enforcement actions — not EVE customer results. Model your own exposure with the ROI calculator. EVE CoreGuard’s Enforcement license is $150,000/year.
PHI never leaves your tenant.
CoreGuard runs as SaaS, in your VPC, or fully on-prem. The governance decision and the signed record are produced inside your boundary — nothing about a patient is sent to EVE to make a decision. See deployment models →
SaaS
Fastest start. Decisions and signed records produced in an isolated tenant.
VPC / Private
Runs inside your cloud account, under your network and key controls — PHI stays in your boundary.
On-prem
Air-gap-friendly for organizations that keep model decisioning fully in-house.
Auditor access
Issue scoped, time-boxed evidence links so an OCR or CMS auditor can verify records directly.
Healthcare AI governance, answered plainly.
Bring one healthcare AI workflow under deterministic governance.
A 60-day design-partner pilot puts CoreGuard in front of a single decision flow, produces signed evidence on real decisions, and credits the pilot fee toward your license.