Partner Insights From Alloy

Most AI tools flag fraud after it happens. Actionable AI closes the gap between detection and response. This guide shows financial institutions and fintechs how to make the shift.

Static, point-in-time authentication cannot keep up with fraud that unfolds across sessions and channels, and now AI agents acting on customers' behalf. Alloy's Chief Product Officer breaks down what continuous, risk-based authentication actually requires.

CIAM systems are built for login, session management, and access control. They are not built for continuous identity risk assessment across channels and lifecycle events. That is why leading financial institutions are adding an identity decisioning layer that works alongside their existing CIAM, creating a more resilient identity security framework that adapts as fraud tactics evolve. Learn what that architecture looks like.

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.

Scams are now systemic, shaping consumer trust and banking choice. Customers expect stronger safeguards as fraud anxiety rises.

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.