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Compliance Systems Blueprint for AI-Driven Platforms

Designed and delivered an end-to-end compliance framework for HIPAA-aligned, AI-driven mental-performance platforms. Work included internal policy templates, data-protection architecture, automated audit logs, and a step-by-step incident-response playbook—embedding governance by design and reducing regulatory risk.

Challenge

AI platforms that process protected health data face intense scrutiny and heavy penalties for missteps. Chi’Va needed airtight governance without slowing product velocity.

Strategy

  • Establish policy as code—version-controlled HIPAA, SOC 2, and GDPR policies linked to CI gates.
  • Architect data flows with encryption in transit and at rest, plus automated key rotation.
  • Build an incident-response runbook that routes alerts, ownership, and evidence gathering within minutes.

Execution

  1. Authored forty-plus internal policies covering access control, breach notification, vendor management, and data-retention.
  2. Integrated AWS Security Hub, GuardDuty, and QLDB to create a tamper-proof audit trail.
  3. Implemented risk registers and quarterly tabletop drills to validate the playbooks.
  4. Wired compliance checks into the deployment pipeline—builds fail if a policy control is violated.

Outcomes

  • Passed external HIPAA assessment on first attempt with zero high-severity findings.
  • Cut evidence-collection time during audits by 70 percent thanks to auto-logged controls.
  • Mean time to containment for security incidents now under five minutes, verified through drills.

Key Capabilities Demonstrated

  • Systems-level compliance strategy
  • Engineering safeguards and automated governance
  • Risk-mitigation processes that scale with product growth