AI Governance Security Review for Healthcare

AI Governance Security Review for Healthcare

An AI governance system can hold more than an inventory of tools. It may hold proposed uses, sensitive architecture, security findings, validation reports, exception requests, approval decisions, and incident history. A security review should therefore follow one named governance workflow through the system that stores and routes those records. The output is a control-and-evidence packet for local owners to review, not a statement that a vendor or deployment is secure.

This guide is for healthcare technology evaluation and procurement planning. It is not medical, clinical, legal, privacy, security, regulatory, or compliance advice. The organization’s qualified workflow, security, privacy, legal, compliance, and clinical owners must decide what applies. Until a control is tied to the proposed configuration and checked, record it as open — owner/evidence required. A policy, contract, framework mapping, or product demo cannot substitute for that observation.

Follow one hypothetical governance approval

Consider a hypothetical field example: a department proposes a documentation assistant and submits it through an AI governance platform. This is not an observed deployment, product test, patient case, or approval. Replace each bracketed prompt with the organization’s real records before drawing a conclusion:

• Use-case intake: [request ID, organization, department, intended documentation function, users, excluded uses, source and destination systems, accountable workflow owner — open].
• Evidence attachments: [architecture diagram, vendor statement, configuration and model version, security report scope, validation document, contract reference, source/version/date/owner for each file — open].
• Security and privacy review: [actual data classification, whether PHI or ePHI enters the governance platform or only the proposed assistant, reviewer permissions, findings, conditions, disagreement and escalation route — open].
• Decision and expiry: [who may approve this precise use, what evidence that person saw, approved boundary, unresolved risks, decision date, expiry, and person who can suspend the use — open].
• Change or incident: [model, supplier, policy, connector, user role, or data-flow change; affected approvals; detection, hold, notification, correction, recovery and reassessment owner — open].

Draw two boundaries separately. The governance platform has its own forms, attachments, identity store, logs, support access, and backup. The proposed documentation assistant has its own inputs, model, outputs, and clinical or administrative workflow. Evidence that one boundary is controlled does not establish that the other is controlled. A governance platform’s “approved” status also does not prove it can technically disable the underlying assistant. Ask for the exact owner and mechanism for both actions.

These bracketed fields stay open — owner/evidence required until an accountable team supplies the actual system and records.

Six security-control gates

These gates are a review aid, not an official checklist or a certification scheme. At each gate, record the scoped function and version, applicability rationale, source of the claim, evidence pointer, observation date, limitation, owner, and status. Use pass, fail, conditional, or open only after the accountable local team has a decision rule; a missing result remains open — owner/evidence required. A failed privacy, integrity, or recovery gate should not be offset by projected savings.

Gate 1: bound the governance system and data flow

Trace a use-case record from request form to attachments, reviewers, decision, notification, export, archive, and deletion. Identify authoritative versus copied records, integration write-back, search indexes, logs, backups, support tickets, and model/API calls if the governance platform itself uses AI. Classify each data element rather than assuming every healthcare governance record is PHI or that none can contain it. Mark legal entity, purpose, location, retention, and recipient at each transfer.

Evidence to request: a versioned system and data-flow diagram, data inventory, permitted-use statement, interface list, supplier chain, retention and deletion configuration, and a controlled sample showing where a record and attachment can be found after a change or exception.

Owner to name: governance workflow owner with data architecture, privacy, security, and application owners.

Pause or escalate when: the team cannot identify a data destination, authoritative copy, AI/model dependency, support access, or the person responsible for a retained copy; the proposed-use description is broader than the evidence.

Gate 2: verify identity, authority, and separation

Map requester, risk reviewer, privacy reviewer, security reviewer, approver, administrator, vendor support, and auditor to the records and actions each can see or change. Distinguish editing a request, accepting evidence, overriding a finding, changing policy, approving a use, and suspending an approved use. Ask whether an administrator can alter an approval or its attachments without a reconstructable history. Check account provisioning, privileged access, temporary support access, revocation, and access review for the proposed tenant.

Evidence to request: current role and permission export, identity-provider configuration, approval routing, privileged-session records, and controlled tests of wrong-role access, separation, revocation, and emergency suspension. A role label alone is not a test of enforcement.

Owner to name: identity and application administrators with security and the approval authority.

Pause or escalate when: a shared account hides attribution, a single role can silently request and approve its own use, support access lacks scope or review, or a revoked account still acts on records.

Gate 3: reconstruct evidence and decision history

Choose one hypothetical request with an attachment revision, a disputed risk finding, and a later approval change. Ask the team to reconstruct the record as it stood at each decision: source document, version, reviewer, comment, exception, authority, time, and downstream notification. Confirm whether exported evidence can be matched to the right use case and whether correction preserves the earlier state. A visible activity feed is not proof that every relevant action is logged or retrievable.

Evidence to request: an audit-event inventory, record/version history, attachment provenance, a controlled change-and-export trace, log access and retention settings, and an exception sample. Record gaps between the platform log and identity, ticketing, or downstream systems.

Owner to name: governance records custodian and audit owner with the security monitoring team.

Pause or escalate when: the current decision cannot be reconstructed, an attachment can be replaced without attribution, an approval change is not sent to affected operators, or logs cannot identify who accessed sensitive findings.

Gate 4: inspect suppliers, retention, and change

Identify the contracted platform, hosting and identity providers, model or retrieval providers if used, support services, observability, and subcontractors. For each, map the data received, permitted purpose, region, access, retention, deletion, notice, and customer-operated control. Match independent assessment reports to the exact service, period, region, exceptions, subservice treatment, and customer duties; do not use a report for another product as proof of this tenant.

Evidence to request: current supplier inventory, applicable contract and subprocessor terms, assessment scope and exceptions, tenant retention and deletion settings, backup treatment, customer-control matrix, material-change notices, and reassessment record. Test a deletion or change path only in an authorized environment and record what was observed.

Owner to name: vendor management and procurement with privacy, legal, platform, and security owners.

Pause or escalate when: a data recipient or reuse purpose is unknown, required contract status is unresolved, deletion cannot be explained across copies, or a new model, connector, policy, supplier, or data type is adopted under an old approval without review.

Gate 5: contain incidents and rehearse recovery

Use controlled scenarios that matter to this governance workflow: an unauthorized reviewer opens a sensitive attachment; an approval is altered; logs are unavailable; a supplier changes; or the platform cannot be reached while a use awaits renewal. For each, define detection, affected-record identification, evidence preservation, communication, record correction, suspension authority, manual continuation, restoration, and restart. Distinguish suspending a governance decision from stopping the underlying AI product or its write-back path.

Evidence to request: incident runbook, named on-call and decision owners, logs and alert-routing evidence, affected-record query method, backup/restore scope, and a dated exercise plan with expected and observed fields. Do not claim the exercise occurred unless local records show it.

Owner to name: security incident lead with governance operations, application owner, vendor support, and the owner of the underlying AI use.

Pause or escalate when: no one can freeze a compromised approval, locate affected records, preserve evidence, continue a critical review safely, or verify that the underlying use was actually suspended where required.

Gate 6: decide, expire, and reopen

Bring the first five gates into a control matrix for this use, version, tenant, data boundary, and approval period. Separate a vendor assertion from a buyer-observed result and from an authority record. Give every open or conditional item a named owner, interim limit, due date, and recheck trigger. The local authority decides whether the proposed use is acceptable; the article supplies questions, not that decision.

Evidence to request: the scoped decision packet, unresolved-findings register, documented conditions, approvals and dissent, next review date, material-change triggers, and a way to withdraw or narrow an authorization. Preserve the evidence version used at the time of decision.

Owner to name: accountable governance authority with security, privacy, legal, clinical or operational owners according to the actual use.

Pause or escalate when: a critical control has no owner or checkable evidence, an exception is treated as permanent, the approval is broader than its tested boundary, or a material change reuses an expired decision.

Assemble six buyer-owned artifacts

Keep these six artifacts blank until local owners supply evidence. A vendor assertion records what the supplier claims; a buyer-observed result records what happened in the buyer’s configured environment; an authority record captures who accepted which residual risk for how long. Do not copy a claim into an observation field. Unknown is not zero: an absent incident report is not evidence of zero incidents. Status may be pass, fail, conditional, or open only under a documented local rule.

A. Workflow and data map

Record the intake trigger, proposed AI use, governance platform and underlying AI system, source and destination, data classes, copies, logs, support paths, suppliers, retention, and exclusion boundary. Add a diagram version, owner, observed date, and unresolved arrows. Leave PHI/ePHI classification open until the actual data and entities are reviewed.

B. Roles and access matrix

For each requester, reviewer, approver, administrator, vendor support user, and auditor, list allowed actions, approval authority, privileged path, test reference, revocation owner, and next review date. Preserve a separate row for who can suspend the governance approval and who can stop the underlying AI workflow.

C. Control and evidence matrix

For each gate, record the control question, applicable source or policy version, vendor assertion, buyer-observed result, test environment, evidence pointer, limitation, status, reviewer, and open issue. A mapped NIST outcome is a question organizer, not the observed result or a certification.

D. Supplier, retention, and deletion matrix

List each party and subprocessor, received data and purpose, location, support access, contract reference, retention/deletion route including backups, notice obligation, customer-operated control, and verification owner. If a BAA is required, link its actual scope and changes instead of marking a generic template complete.

E. Incident and recovery exercise request

Define scenario, expected detection and containment, affected-record method, preservation, notification owner, suspension of both boundaries, fallback, restore/reconcile step, expected result, observed result, date, limitation, defect, and retest. Leave observed result open until a controlled exercise is performed.

F. Decision, exception, and expiry record

Record approved use and exclusions, exact system/version/tenant, evidence index, pass/fail/conditional/open disposition, residual risks, conditions, dissent, local authority, date, expiry, and recheck trigger. An unsigned or missing authority record remains open; this template does not invent a signature.

Apply official sources conditionally

NIST AI Risk Management Framework 1.0 organizes Govern, Map, Measure, and Manage work; NIST Cybersecurity Framework 2.0 organizes Govern, Identify, Protect, Detect, Respond, and Recover outcomes. Both are voluntary frameworks. They help structure owners, risks, controls, evidence, and review, but neither certifies this platform or proves that a configured control works. Record the version used; NIST has said AI RMF 1.0 is being revised.

Only if the governance platform itself uses generative AI—for example to summarize submitted evidence, draft a risk narrative, or retrieve policy text—use the NIST Generative AI Profile to ask about prompt and retrieved-content handling, third-party model/API access, sensitive-output disclosure, prompt-injection tests, and model change. The proposed documentation assistant and the governance platform may have different model and data boundaries. Do not impose a GenAI-specific branch on a rules-only governance workflow.

First establish whether an actor is a HIPAA covered entity or business associate, whether the platform or a supplier handles PHI on its behalf, and whether ePHI is in scope. For a covered entity or business associate handling ePHI, the HHS OCR summary of the Security Rule currently in effect frames risk analysis, access, audit, incident, contingency, and evaluation questions; qualified owners must check the actual rule and facts. HHS business associate guidance helps identify contract and subcontractor questions when the relationship qualifies. A BAA is not proof of operating safeguards or blanket permission for data reuse. The 2024 Security Rule NPRM is proposed, not a currently effective duty; recheck its status before publication or procurement.

A governance approval register is not clinical decision support merely because a hospital uses it. If the exact underlying function makes a patient-specific prevention, diagnosis, or treatment recommendation, examine intended use and the FDA Clinical Decision Support Software guidance, final January 2026 with qualified regulatory owners. If a Predictive DSI is supplied by a certified health IT developer as part of a certified Health IT Module, use the ASTP/ONC Decision Support Interventions test method to ask about that developer-supplied intervention’s source attributes and risk-management practices. Neither branch applies automatically to a generic governance platform, establishes the status of an unidentified assistant, or proves security.

Hand off adjacent decisions

Keep this page’s output to the configured governance system’s security controls and evidence. Send the broader questions to their dedicated pages:

• The AI governance buyer checklist owns the eight-gate procurement decision; this packet deepens its security gate for one actual workflow.
• AI governance compliance questions owns the applicability and policy question log; this page flags conditional branches for qualified reviewers.
• The AI governance vendor evaluation guide compares platforms and proof-of-concept capability; this page does not rank vendors.
• AI governance pilot planning owns a bounded pilot, measures, and expansion gate; security findings become inputs to that plan.
• AI governance workflow implementation owns daily routing and training; this page asks for control evidence behind those operations.
• Vendor security and BAA review covers broad supplier and contract diligence, while what to check before using AI with PHI covers PHI-use questions across tools.

If the team cannot name the governance system, map its actual records and approval powers, or produce a security-specific evidence packet, stop this security review. Use the broader buyer checklist to define the proposed use and owner first, then resume only when the system boundary and evidence requests are concrete.

Evidence boundary

This guide uses public NIST, HHS, FDA, and ASTP/ONC materials only within their stated scope. It reports no product test, customer interview, local configuration review, PHI exposure, incident, recovery exercise, clinical result, security certification, legal conclusion, or approval. The hypothetical fields and packet are requests, not completed evidence. Recheck authority text, actor and data status, supplier chain, model/version, certified-module relationship, and local evidence before any operational decision. Keep unresolved items open — owner/evidence required.