eBook
eBook
Published September 24, 2024
Banks Fraud Management
How to deploy a multi-layered approach with a holistic consumer view to stay ahead of evolving fraud.
According to Experian’s latest research, the top three anticipated operational challenges businesses expect to struggle with when it comes to fraud are Cybercrime (45%), Generative AI fraud, and/or Deep Fakes (41%), followed by Peer-to-Peer (P2P) (40%), payment scams, which GenAI increasingly enables.
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eBook
Discover how lenders can strengthen prime portfolio performance by combining traditional credit risk strategies with first-party fraud analytics to identify hidden risk and improve early payment default detection.
Key insights:
Infographic
A concise guide to simplifying business credit modeling with automation. Learn how microservices streamline validation, testing, and analysis to help relationship managers, credit analysts, and adjudicators reduce manual effort, improve risk visibility, and make faster, more confident lending decisions.
Report
Uncover how a coordinated fraud ring scaled into a full force ATO invasion, connecting 166 devices across nearly 300 accounts in just 30 days. Explore how specialized roles from reconnaissance to monetization worked together to bypass controls, exploit vulnerabilities, and outpace defenses, and why real time behavioral, device, and network intelligence is critical to stopping attacks early.
Report
Dive into a large-scale account takeover (ATO) attack where loosely coordinated fraudsters use low-touch logins to validate credentials and harvest data across 100+ accounts. Learn how unstructured fraud rings achieve rapid scale, why behavior is the hardest signal to fake, and how multidimensional analysis exposes hidden connections to stop attacks early.