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Fraud Detection and Prevention: AI Trends, Technologies, and Strategies

This session explores the evolving fraud landscape, highlighting the latest trends, fraud typologies, and the technologies institutions can deploy to detect and prevent fraud. With real-world case studies and data-driven insights, attendees will gain a practical understanding of how to map fraud types to appropriate detection and prevention strategies.

OnDemand
Recorded Thursday,
August 21st, 2025
Presented by Ingo Steinhaeuser
1h 30m total length
$299.00 or 1 Token

Includes: 30 Days OnDemand Playback, Presenter Materials and Handouts

  • Artificial Intelligence (AI)
  • Commercial/Business Lending
  • Deposit Compliance
  • Fraud
  • Risk Management/Legal
  • Technology/Security
  • Teller
  • Branch Manager
  • Commercial Lender
  • Consumer Lender/Retail Banker
  • Deposit Operations Manager/Specialist
  • IT Professional
  • Loan Operations Manager/Specialist
  • Mortgage Lender
  • Risk Manager
  • Senior Management

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Fraud is evolving fast. From synthetic identities and account takeovers to AI-driven scams and deepfake impersonations, today’s fraudsters are more sophisticated than ever.

In this webinar, Ingo Steinhaeuser, Senior Risk and Fraud Specialist at Thomson Reuters, will guide you through the latest fraud trends, attack vectors, and the technologies that can help mitigate these threats.

Using real-world data, industry case studies, and interactive polling, this session will explore how institutions can build a layered fraud prevention strategy that combines behavioral biometrics, AI, public records, and workflow automation. Whether you're in audit, compliance, or fraud operations, this session will equip you with actionable insights to strengthen your fraud defenses.

What You'll Learn

  • The latest fraud trends and statistics from 2024–2025, including mega-breaches and emerging scam types
  • How to segment fraud by type, entry point, and industry to better understand risk exposure
  • How to map fraud types (e.g., ATO, synthetic ID, social engineering) to the right detection and prevention technologies
  • The role of behavioral biometrics, device intelligence, and AI in detecting fraud in real time
  • How to conduct a fraud risk assessment and prioritize technology investments accordingly
  • Practical case studies illustrating how fraudsters bypass protocols and how organizations can respond

Who Should Attend

This session is ideal for audit, compliance, fraud and fraud operations, cybersecurity, and IT personnel.

Ingo Steinhaeuser

Instructor Bio

Ingo Steinhaeuser is a Senior Risk and Fraud Specialist at Thomson Reuters, specializing in risk, fraud, and compliance solutions for corporate clients.

With a strong focus on helping organizations navigate the evolving landscape of financial crime and fraud, Ingo partners with stakeholders across industries to implement data-driven strategies that enhance fraud detection and prevention, streamline due diligence, and strengthen regulatory compliance. He brings deep expertise in leveraging advanced analytics and real-time intelligence tools to mitigate risk exposure and support enterprise-wide fraud prevention initiatives.

He is a contributor to the Thomson Reuters Legal Blog, the Thomson Reuters Institute and various industry associations.

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