AI Insurance Fraud Shield
AI Insurance Fraud Shield uses machine learning and industry-wide data to detect suspicious claims, entities, and behaviors in real time across the insurance lifecycle. It scores risk, flags anomalies (including deepfake and synthetic identity attempts), and orchestrates automated investigations through APIs and agents. Insurers reduce loss ratios, cut manual review costs, and accelerate legitimate claim payouts while improving overall fraud resilience.
The Problem
“Modernize fraud prevention with ML-powered, real-time claim risk detection”
Organizations face these key challenges:
Manual claim reviews are slow, costly, and prone to human error
Fraud rings and synthetic identity schemes evade static rule engines
Growing threat from deepfakes and digitally manipulated evidence
Delayed detection leads to financial losses and poor customer experience