Real-Time, End-to-End Fraud Prevention Powered by Pervasive AI
IFM delivers AI pervasively across all fraud prevention processes, from detection and strategy to investigations and operations, as well as intelligent data orchestration.Throughout the customer lifecycle, leverage agile advanced analytics and easy-to-use claims and investigations tools to protect customers across all channels and payment types. Combat fraud with intent-based advanced AI and hyper granular profiles-powered by unparalleled collective industry intelligence.With IFM, minimize loss exposures, expedite claim resolution, and align with regulatory requirements.

Case Studies - AI in Action
Comprehensive Fraud Management

Scams & Mule Defense
AI-powered insights identify suspicious activity patterns across the customer lifecycle, safeguarding both customers and institutions.Learn More
Payments Fraud
Protect all payments and speed up customer processing with real-time monitoring and smart analytics.Learn more
New Account Fraud
Improve onboarding acquisition rates and enhance customer experience using advanced AI and data orchestration.Learn More
Investigations
Streamline investigations operations by integrating functions and data into a unified platform.Learn More
Authentication Management
AI and analytics help manage customer authentication across channels and define fraud strategy in real time.Learn More
Xceed for Small and Mid-Sized Banks
Real-time fraud detection and prevention for small and mid-sized banks.Learn More
Pervasive AI to Prevent FraudAdvanced AI used across all Enterprise Fraud ManagementExplore IFM

Typology-Centric ApproachCutting-edge detection and prevention.Learn More

2026 Fraud Insights Report U.S. Payments Edition
Download the report to gain actionable insights into how fraud is shifting across payment rails, channels and behaviors – and what it means for your detection strategy.What You’ll Learn:- How fraud is redistributing across payment types, with value and volume diverging
- Where fraud is accelerating fastest – including emerging risk in ACH and wire
- Why traditional signals like device and payee familiarity are weakening
- How detection strategies must evolve toward behavioral and network-level intelligence



































