Case Study: Cognoa achieves HIPAA-compliant machine learning acceleration with Immuta

How Cognoa Improved Data Governance Practices for AI-Based Medical Diagnostics with Immuta

Cognoa, a Palo Alto–based digital behavioral health company that develops AI diagnostics and personalized therapies, needed to protect patient identifiers and ePHI stored in an Amazon Aurora HIPAA environment while still giving data scientists timely access for model building. Their legacy approach—manual data dumps, cleansing scripts and month-old snapshots—was labor intensive, introduced latency, and could not enforce the fine-grained, purpose-based access and anonymization policies required, so Cognoa turned to Immuta and its Immuta Automated Data Governance platform.

Immuta implemented purpose-based restrictions, dynamic query rewrites, masking and automatic anonymization so Amazon Aurora could continue processing live queries while policy enforcement happened in real time. As a result, Immuta eliminated month‑old snapshot delays by enabling live queries, automated previously manual data management and policy enforcement, empowered self‑service data science, reduced engineering overhead, and accelerated development of HIPAA‑compliant machine learning diagnostics while ensuring secure, anonymized data for reporting.

Cognoa

Halim Abbas

Chief AI Officer