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Pryzma Compliance Intelligence

AI-powered HIPAA surveillance that detects anomalous access patterns, generates threat briefings, and provides forensic-grade investigation tools.

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Reports / Intelligence Alerts
Updated: 2:34 PM
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Intelligence Alerts
All 24
Critical 3
High 7
CRITICAL14 min ago
R. Gallegos — Rio Grande Medical Center
Anomalous after-hours access pattern with 847 patient record queries in 72hr window. Self-access detected.
SELF_ACCESSBURST_ACCESSWEEKEND
CRITICAL2h ago
T. Nakamura — Sandia Peak Health
Patient focus: 23 consecutive days accessing same record.
HIGH3h ago
K. Begay — Mesa Verde Family Practice
Relative access pattern. 12 queries on shared-name patient.
HIGH5h ago
J. Romero — Turquoise Trail Hospital
Burst access: 3.1x normal daily volume. 412 unique records.
MEDIUM6h ago
A. Trujillo — Sangre de Cristo
Weekend access pattern. 47 queries Saturday 11pm–2am.
R. Gallegos — Rio Grande Medical Center
Registration Clerk · Feb 10–24, 2026
87/ 100
Threat Assessment
CRITICAL — Tier 1 Immediate Review
Multi-signal convergence: self-access, burst volume, and after-hours activity indicate potential unauthorized access.
Executive Summary
Registration clerk R. Gallegos accessed 847 patient records over 72 hours, a 4.2σ deviation from baseline. Activity concentrated 10 PM – 3 AM. Self-access detected.
Risk Factors
Volume 22.3x above baseline — extreme outlier
Self-access event indicates monitoring awareness
Cross-department access atypical for role
No prior alerts in 18-month employment
RECOMMENDED ACTION — TIER 1
Immediate review by Privacy Officer. Preserve forensic evidence. Consider access suspension pending investigation.
🔒SHA-256: e3b0c442...b · Chain: verified · 2026-02-24T14:34:17Z

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.

In Practice

Statewide Health Information Exchange

A statewide HIE monitors over 11 million patient access events across 340+ organizations and 7 workgroup classifications. Pryzma identifies dormant account reactivations, detects staff accessing family member records, flags obsessive repeat access to the same patient, and generates AI briefings that cut investigation time from days to minutes. Adaptive thresholds have reduced false positive alerts while catching subtle patterns that static rules miss entirely.

See Intelligence in Action

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