How unified data and AI transforms compliance oversight & risk detection at Fingerprint

As regulatory demands increase, financial institutions must modernize their compliance processes to detect fraud and misconduct across complex digital communication networks. In this session, Founder & CEO, James Hogbin and Head of Marketing, Brielle Hewitt at Fingerprint, and Elastic’s VP, Massimo Merlo, explore how unified data and AI enhance compliance oversight.

Stronger regulatory compliance: Automating compliance processes and updating risk detection methods are now essential.
Unified data for fraud detection: Financial crime is rarely identifiable through a single event; data integration helps reduce blind spots.
AI-powered risk monitoring: Automated systems allow compliance teams to analyze all communications, far beyond manual review limits.
Behavioral analysis in compliance: Monitoring channel switching and language changes helps detect misconduct.
Balancing internal & external risks: Financial services must address both employee misconduct and fraud threats like social media scams.
Scalable, cost-effective solutions: AI-driven compliance requires efficient data storage and integration to manage oversight at scale.

Watch now the session to learn how financial institutions can unify data, leverage AI, and automate compliance to stay ahead of evolving risks.

7003-En-1T-How unified data and AI transforms compliance oversight & risk detection at Fingerprint

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