Ask any fraud team what's changed in the last year, and the answer is usually some version of "everything got faster." Synthetic identities that used to take real time and skill to assemble can now be generated in minutes. Fabricated documents, deepfakes and supporting "proof" are now produced at a scale and quality that used to be reserved for the most sophisticated rings.
But speed isn't the full story. Fraud was never designed to just fool you once and can present itself at various stages throughout the lifecycle of an account. AI just handed attackers better tools to deceive FIs and commit fraud attacks better than legacy tools can keep up with. Stopping them requires both sharper detection and quicker action throughout the entire customer lifecycle. That changes what modern, innovative defense looks like.
Join Alloy and Sentilink for a practical look at what's actually changed in the age of AI and what to do about it. We'll cover:
- Why AI made fraud cheaper and faster - what's showing up in application funnels now and how AI lowered the cost and skill required for to commit fraud
- What's still detectable - the signals that hold up and how machine learning models can spot patterns better than manual review teams
- What a modern defense stack needs - moving from single point-in-time checks to risk-based authentication throughout the customer lifecycle
- How to move beyond legacy processes - the AI tools that fraud teams can actually rely on to stay on top of high-risk activity