Insurance Fraud Insight Engine
AI models ingest claims, policy, telematics, medical, image, and network data to detect anomalous patterns and flag suspicious insurance activity in real time. By identifying fraud rings, deepfakes, staged claims, and social engineering attacks before payout, it reduces loss ratios, protects customers, and strengthens regulatory compliance. Carriers gain faster, more accurate claims decisions and can focus investigators on the highest‑risk cases.
The Problem
“Real-Time AI Defense Against Insurance Fraud Rings and Deepfake Claims”
Organizations face these key challenges:
Delayed or missed detection of new fraud patterns and synthetic claims
Investigator overload from manual rule-checking or high false positives
Escalating loss ratios and costly claim payouts
Difficulty identifying coordinated attacks (fraud rings, collusion) within large portfolios