Fraud Prevention: How AI Helps Track Changes in Customer Behavior

As fraud typologies become more complex,, it is harder for firms to ensure they have robust detection practices in place. Yet while some red flags cover many fraud types, precise detection requires a forensic approach to pick up on complex, highly contextual, activity. In a constantly evolving risk environment, how can firms ensure they are detecting fraud proactively, efficiently, and accurately? Customer behavior changes are often a core indicator of fraud. Certain changes in customer behavior are clear enough that they broadly apply to most situations.