FinTech CTO: Eradicating Fraud with Next-Gen Detection Strategies
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This session delves deep into financial fraud, covering its various forms, detection methods, and latest technologies for building robust prevention systems. Part 1 introduces financial fraud types and the interconnectedness of AML, fraud, and cybercrime prevention efforts, along with legacy fraud detection platform limitations and workflows. Part 2 emphasizes data management's crucial role in fraud detection, featuring case studies, data analytics techniques, and network analytics. Part 3 explores advanced detection techniques, geolocation data usage, and architectural considerations for modern fraud detection platforms. Attendees will gain essential knowledge and tools for combating financial fraud, crucial for CTOs, security professionals, and financial institution stakeholders.
Industry Technology Leader at Amazon Web Services
Introduction, Course Overview, and Module Content
FREE PREVIEWFinancial Fraud: Overview and Types
Efforts in AML, Fraud, and Cybercrime Platforms
Exploring Legacy Fraud Detection Platforms
Legacy Fraud Detection Workflow
Data Management in Fraud Detection
Fraud Detection Case Study
Data Analytics in Fraud Detection
Network Analytics in Fraud Detection
Key Strategies for Fraud Prevention
Exploring Detailed Fraud Detection Use Cases
Geolocation Data for Risk Assessment
Fraud Detection Platform Reference Architecture
Bank Fraud Detection Platform Architecture