Pryzma Compliance Intelligence
AI-powered HIPAA surveillance that detects anomalous access patterns, generates threat briefings, and provides forensic-grade investigation tools.
The Problem
Healthcare organizations face an impossible task: monitoring millions of patient access events for HIPAA violations using static audit rules that generate thousands of false positives. By the time a genuine breach is identified through manual review, the damage is done. Compliance teams need intelligence, not just alerts.
How Pryzma Solves It
Agent Pryzma — AI Intelligence Officer
A conversational AI that generates structured intelligence briefings with 5-tier risk scoring. Analyzes access patterns, identifies anomalies, and produces actionable assessments — not just alerts. Every finding includes risk factors, pattern analysis, and recommended action tiers.
Sigma-Based Anomaly Detection
Statistical analysis that flags access deviations in real time. Self-access surveillance catches staff viewing their own records. Patient focus detection identifies obsessive repeat access patterns. Peer comparison reveals users deviating from their workgroup norms.
Adaptive Thresholds That Learn
Every investigation outcome — confirmed, dismissed, escalated — feeds back into the detection model. Thresholds adapt to your organization's patterns, reducing false positives over time. The system gets sharper with every decision.
Forensic Dossier Module
Evidence-grade investigation tools with SHA-256 content hashing, hash chains, and chain-of-custody tracking. Classification-based access control from UNCLASSIFIED through TOP SECRET. Meets NIST AU-2 audit requirements and Daubert forensic standards.
How It Works
Example: Intelligence at HIE Scale
Consider an HIE monitoring millions of patient access events across hundreds of organizations. Pryzma would identify dormant account reactivations, detect staff accessing family member records, flag obsessive repeat access to the same patient, and generate AI briefings that cut investigation time from days to minutes. Adaptive thresholds reduce false positives over time while catching subtle patterns — like after-hours access spikes or peer deviation — that static rules miss entirely.
See Intelligence in Action
We'll walk you through a live demonstration with your compliance requirements and data environment.
Schedule a Demo