About the Course
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.
Meet Your Instructor
Vamsi Kiran Chemitiganti
Industry Technology Leader at Amazon Web Services
Course curriculum
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Introduction, Course Overview, and Module Content
FREE PREVIEW -
Financial Fraud: Overview and Types
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Efforts in AML, Fraud, and Cybercrime Platforms
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Exploring Legacy Fraud Detection Platforms
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Legacy Fraud Detection Workflow
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Data Management in Fraud Detection
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Fraud Detection Case Study
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Data Analytics in Fraud Detection
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Network Analytics in Fraud Detection
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Key Strategies for Fraud Prevention
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Exploring Detailed Fraud Detection Use Cases
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Geolocation Data for Risk Assessment
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Fraud Detection Platform Reference Architecture
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Bank Fraud Detection Platform Architecture
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About this course
- $30.00
- 14 lessons
- 2 hours of video content