FutureCentral > AI for Fraud Detection and AML: The Guide for Fraud and Financial-Crime Professionals
AI for Fraud Detection and AML book cover
Finance, Investment & Risk · Working Professionals

AI for Fraud Detection and AML

The Guide for Fraud and Financial-Crime Professionals

Austin PM · FutureCentral Press

AI for fraud and financial-crime professionals.

Working ProfessionalsBook in development
Explore the bookInquire about this bookView contents
AudienceWorking Professionals
Structure18 chapters listed
StatusBook in development

About the book

Account takeover, payment fraud, network analysis, screening, know-your-customer checks, and investigation form the planned coverage of this developing title. Evidence and operational controls guide its treatment of AI in fraud detection and anti-money laundering.

What you will learn

  • Compare fraud and AML use cases
  • Evaluate network and transaction signals
  • Design investigation workflows
  • Assess evidence, escalation and control requirements
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Table of contents

View all 18 chapters

The chapter structure is in development and may change.

  1. The Rise of AI in Financial Crime Detection
  2. The Indian Financial-Crime Ecosystem — FIU-IND, RBI, FATF, and the Typology Landscape
  3. The Fraud-and-AML Data Stack — Internal Signals, External Lists, Network Data
  4. ML Foundations for the Fraud and AML Professional
  5. Card Fraud — Issuing-Side and Acquiring-Side Detection
  6. Account Takeover and Identity-Theft Detection
  7. Real-Time Payment Fraud — UPI and the Velocity Problem
  8. ML-Based Transaction Monitoring — Beyond Rules
  9. Graph Analytics and Network Detection for Layered Laundering
  10. Sanctions Screening and PEP Monitoring
  11. KYC, Video KYC, and Perpetual KYC
  12. LLMs in SAR Drafting, Investigation Summaries, and Adverse-Media Monitoring
  13. Agentic AML Investigation — End-to-End Workflows
  14. Deepfake Fraud and Adversarial AI — The Defender’s Playbook
  15. Model Risk in Fraud and AML — When the False Negative is Worse
  16. Regulatory Expectations — FATF, PMLA, RBI Master Directions, FREE-AI
  17. Building the Augmented Investigator — Skills and Career Architecture
  18. The 2030 Fraud and AML Function — Strategy and Capstone
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