Why financial crime investigations need to move faster

Financial crime is no longer a slow, paper-based investigation that can be pieced together through records requests and manual review. Fraud networks can use synthetic identities, social media recruitment, cryptocurrency, real-time payments and AI-generated impersonations to move stolen money through multiple accounts in hours or even minutes. For law enforcement, the challenge is not only following the money, but doing so quickly enough to act before it disappears.

In this episode of the Policing Matters podcast, host Jim Dudley speaks with Daniel Kurz, a retired U.S. Secret Service senior executive and financial crime consultant for Cognyte. Kurz describes how modern criminal enterprises combine cyber fraud, money laundering and other offenses in shared networks — and why investigators need connected data, faster analysis and clear processes to keep pace with technology-driven financial crime.

About our sponsor

More data has not made investigations faster. Cognyte changes that. Its AI-powered decision intelligence correlates massive volumes of multi-source data across the systems and silos your teams already work in, so analysts spend their time on decisions instead of on assembly. The result is clearer leads, faster assessments, and intelligence you can stand behind. Book a demo and see it on your own data at Cognyte.com.