Claims Evaluated
50,000
Federal Medicare Lakehouse Dataset
Anomalies Isolated
2,480
↑ Critical Fraud Suspects
Anomaly Topology Rate
4.96%
Mathematical Outlier Threshold
Interactive Threshold Sliders:
Max Patient Age:
100
Max Claim Amount ($):
$150,000
Financial Impact vs. Demographic Age
Outlier cluster isolation (Blue: Normal, Purple: Suspect)
Criminal Anatomy & Metric Geometry
Multi-dimensional anomaly signature radar profile
Agnostic Extensibility & Auditor Operational ROI
Human medical and financial auditors waste over 80% of their operational capacity reviewing benign claims. This unsupervised Isolation Forest topology analyzes 30+ engineered metrics simultaneously, isolating mathematically improbable behaviors without manual rule-tagging. The mathematical engine is fully agnostic and adapts seamlessly to healthcare, banking ledgers, and cybersecurity SIEM event streams.