Kriv AI - HIPAA-Compliant AI Governance Framework

HIPAA enforcement actions are up 340%. 67% of healthcare organizations are NOT ready for AI governance. And 80% of PHI breaches originate from vendor and third-party AI systems operating without proper controls.

If your organization is deploying AI on AWS -- whether through Amazon Bedrock, SageMaker, or custom models -- you need a governance framework built specifically for healthcare. Generic AI governance does not address PHI protection, clinical workflow requirements, or the intersection of HIPAA with emerging AI regulations like the EU AI Act and NIST AI RMF.

WHAT WE IMPLEMENT:

PHI Protection Layer: Automated detection and de-identification of Protected Health Information using Microsoft Presidio and custom NLP models. Prevents PHI from entering AI model training data or being exposed in AI outputs.

Model Governance Controls: Model inventory, version control, bias testing, performance monitoring, and approval workflows for every AI model in production. Full traceability from data input to model output.

Audit Trail System: Comprehensive, tamper-resistant logging of all AI decisions, data access, model changes, and human overrides. Designed for HIPAA audit readiness and regulatory inspections.

Access Management: Role-based access controls for AI systems aligned with your existing IAM structure. Minimum necessary access enforcement for PHI-adjacent AI systems.

Compliance Documentation Package: Complete set of policies, procedures, risk assessments, and evidence artifacts mapped to HIPAA Security Rule, HITRUST CSF, NIST AI RMF, and SOC 2 AI controls.

Staff Training: 4-hour governance training for technical and clinical teams covering AI-specific HIPAA obligations, incident reporting, and ongoing compliance responsibilities.

ENGAGEMENT STRUCTURE:

Weeks 1-2: Discovery, current-state assessment, risk identification, and architecture review. Weeks 3-4: Implementation of PHI protection, audit trails, access controls, and monitoring. Weeks 5-6: Testing, documentation, staff training, and executive review.

Timeline is 3-6 weeks depending on scope and number of AI systems in production.

WHO THIS IS FOR:

CIOs, CISOs, Chief Compliance Officers, and VP Clinical Informatics at hospitals, health systems, payer organizations, digital health companies, and healthcare technology vendors deploying AI on AWS.

ABOUT KRIV AI:

Kriv AI is the only AWS Marketplace partner specializing in HIPAA-compliant AI governance. We have trained a $2B enterprise healthcare organization on responsible AI implementation. AWS Partner. Databricks Partner.

For detailed methodology and case studies, visit https://kriv.ai