AI in fraud detection is not theoretical anymore. This piece walks through five concrete ways financial organizations are using AI today, from reducing false positives to scaling investigations without scaling headcount, and what those outcomes look like in practice.
Financial institutions are under pressure to operationalize AI, but most are turning to point solutions that inherit the same fragmentation they were meant to solve. Alloy CEO Tommy Nicholas on why AI for fraud and risk only works when embedded in the platform making decisions.
Before fraud teams can evaluate AI tools, they need a shared vocabulary for what is actually being discussed. This primer breaks down the five core AI concepts every fraud leader should understand: what they mean, where they apply, and how to separate signal from vendor noise.
It's time to bring your fraud and authentication programs together. Modern threats require continuous, risk-based evaluation that adapts across the customer journey.
Secure growth starts with knowing who you're dealing with. As fraud erodes conversion and trust, banks must use identity management to protect revenue, reduce risk.
