The Fraud and Anti-Money Laundering practice provides clients with in-depth data and insights focused on tackling the business, technology, and regulatory challenges impacting the financial services industry as it fights the rising tide of financial crime. The practice focuses its research on the needs of global and domestic financial institutions (including both retail and commercial banks and wealth management firms), payment networks and processors, e-commerce merchants, technology providers, and professional services firms.
Financial crime is evolving rapidly with AI-enabled, coordinated attacks, while most institutions rely on outdated defenses. This hub explores how financial institutions are building adaptive, AI-driven fraud risk frameworks to counter modern threats.
While financial services leaders view AI as a top priority, many have yet to realize tangible business value from it. The AI Use Case Compendium provides real-world evidence of how institutions are deploying a range of AI capabilities today, focused on what delivers measurable impact.
