NEW! Data443 Acquires Vaikora – Real-Time AI Runtime Control & Enforcement for AI Agent
HIPAA-Aligned AI Agent Runtime Control for Hospitals, Health Systems, and Payers
When an AI clinical scribe transcribes a patient encounter, who controls what gets written to the EHR? When a prior-authorization agent reads PHI from a clearinghouse, what prevents it from passing that PHI to a downstream tool not covered by your BAA? When a member-services agent answers a covered member’s question, what proves to your HIPAA auditor that the agent never disclosed PHI to an unauthorized party?
Vaikora is the deterministic runtime control layer for AI agents that handle PHI. Every agent action gets evaluated against HIPAA-aligned policy rules before it executes, and every decision lands in a HITRUST-compatible audit log.
Healthcare has the strictest data-protection regime of any industry plus the largest scope creep in AI use over the last 18 months. Clinical scribes, prior-auth automation, medication-reconciliation agents, member-services chatbots, and lab-result interpreters are all live in production at major health systems by 2026.
The standard risks scale poorly under HIPAA:
- name: phi_stays_inside_baa_chain
match: { tool: ["api.post", "webhook.post"], payload.contains_phi: true, target.in_baa: false }
decision: deny
- name: substance_use_records_require_explicit_consent
match: { tool: chart.read, arg.record_type: "42_cfr_part_2", context.consent.scope: "!includes:42_cfr_part_2" }
decision: deny
- name: minimum_necessary_on_member_query
match: { tool: eligibility.lookup, arg.fields: "*", caller.role: "member_services_agent" }
decision: filter_to: ["member_id", "plan", "effective_date", "copay"]
- name: clinical_scribe_does_not_finalize_orders
match: { tool: ehr.order.create, caller.agent_type: "clinical_scribe" }
decision: require_approval
Try the policy engine that sits in front of every AI agent action.