Traditional systems usually depend on fixed rules and manual reviews. While these methods can identify known fraud patterns, they can struggle when criminals change their behaviour or operate across multiple channels.
AI-powered fraud analytics takes a broader approach. It continuously studies transactions, account activity, devices, locations, and historical behaviour to identify patterns that may otherwise go unnoticed.
Top comments (0)