Leading Detection

Sedulo Search
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Leading Detection: Where the world’s top fraud fighters talk shop. Hosted by Matt Brady, the industry’s leading fraud recruiter and founder of Sedulo Search, this is your front-row seat to the future of fraud prevention. Join us as we talk tech and tactics with leaders from BioCatch, Sardine, SEON, Sumsub, and more. We dive into: • War Stories: Hard lessons from the front lines. • The Tech Edge: Leveraging AI to stay ahead. • The Network: Strategies to disrupt fraud together. Subscribe for weekly drops. Let’s detect, disrupt, and do better.

  1. 1D AGO

    Is Identity Verification now redundant?

    Exploring the evolving landscape of identity verification, its challenges, and future directions with expert David Maimon. Understand how digital identity is shifting from snapshot checks to comprehensive, historical signals to combat fraud effectively. #Cybersecurity #IdentityTheft #FraudPrevention #DigitalIdentity #AI

    36 min

  2. MAY 14

    Uncovering CX Fraud

    In this episode, Alex Shamir discusses the rising issue of CX fraud, how it impacts businesses, and innovative solutions to combat it. Discover how fraud within customer support channels is often overlooked and learn strategies to protect your company from costly abuse. Key Topics • CX fraud within chat and call centres • Impact of fraud on customer experience and costs • Role of AI and automation in detecting and preventing fraud Chapters 00:00 Introduction to CX Fraud 03:10 Understanding the Scope of CX Fraud 05:47 The Cost of CX Fraud to Companies 08:37 The Role of Social Media in Fraud 11:26 Fraud Trends Across Industries 14:21 Solutions for Mitigating CX Fraud 17:11 The Role of AI in Customer Success 19:52 The Future of CX Fraud and Customer Success Keywords CX fraud, customer success, fraud detection, post-purchase fraud, AI in fraud prevention, customer support, returns fraud, digital deception, fraud signals, AI bots #CXFraud #CustomerSuccess #FraudPrevention #AIFraud #ReturnsFraud

    29 min

  3. MAY 4

    Fraud Prevention has to be AI-driven

    Explore how AI is transforming fraud prevention in financial institutions, shifting from rule-based systems to real-time, AI-driven solutions. Yinglian Xie, CEO of DataVisor, discusses the evolution, challenges, and future of AI in combating sophisticated fraud tactics. Key Topics • Shift from batch to AI-driven fraud detection • Role of unsupervised machine learning in identifying new fraud patterns • Challenges in adopting AI for financial institutions • Importance of governance and transparency in AI systems • Future trends in AI and fraud prevention Chapters 00:00 Introduction to AI in Fraud Prevention 03:08 The Shift from Batch Processing to Real-Time AI 06:15 Challenges in Adopting AI for Fraud Prevention 09:03 The Role of Governance and Regulation 12:09 Customer-Centric Approaches in Fraud Prevention 15:08 Leveraging AI for Proactive Fraud Detection 18:10 Unsupervised Learning in Fraud Detection 21:00 Building Trust in AI Decision-Making 24:06 The Future of Fraud Prevention Technology #ai #fraudprevention #cybersecurity #aigovernance #financialcrime

    40 min

  4. APR 28

    The Networks view of Fraud Risk

    Kyle Caldwell shares insights on fraud prevention infrastructure in payment networks, emphasising the importance of data, modernising fraud practices, and preparing for the future of instant payments.Key Topics• Fraud detection in large-scale payment networks• The role of data signals and network analysis• Adapting fraud prevention for instant paymentsChapters00:00 Introduction to Kyle Caldwell and Payment Fraud00:44 Kyle's Role in Payment Infrastructure and Fraud Detection01:30 Challenges of Fraud Detection in Payment Settlements02:56 Shift from Fraud Identification to Anomaly Detection03:52 Penetration and Data Signals in Payment Networks05:38 Investigating Fraud Before Payments Are Initiated06:29 Modernising Fraud Prevention for Instant Payments07:39 Risks and Benefits of Faster Payments08:40 Buffer and Settlement in Instant Payments10:28 Adapting Fraud Strategies to Real-Time Payments11:41 Impacts of Instant Payments on Fraud Detection13:51 Risks and Benefits of Checks and Mail Fraud15:21 Preparing for the Future of Faster Payments18:07 The Role of AI and Data in Fraud Prevention19:37 Investing in Fraud Prevention: Data, Talent, and Technology20:54 Regulation and Industry Collaboration in Fraud Prevention22:16 Prioritising People and Knowledge in Payment Services25:25 Future Trends in Payment Fraud and Technology26:42 Getting Started with Instant Payments and Fraud Controls28:20 Key Takeaways for Fraud Leaders and Product Teams29:12 Kyle Caldwell's Contact and Future Engagements#fintech #cybersecurity #fraudprevention

    30 min

  5. APR 17

    Inside the Fraud Prevention Machine in Big Banks

    Explore the inner workings of fraud prevention in big banks with Jose Gonzalez, an expert in fraud investigations. Learn about proactive and reactive strategies, the scale of fake e-commerce sites, and the evolving threats from organised crime and AI technology.Key Topics• Fraud detection processes in banks• Scale and complexity of fake e-commerce sites• Proactive vs reactive fraud strategiesChapters00:00 Inside the Fraud Prevention Machine02:59 Reactive vs Proactive Fraud Prevention05:20 The Complexity of Fraud Schemes08:16 Collaboration and Information Sharing in Banking10:53 The Evolving Landscape of Cyber Fraud13:26 The Role of Education in Fraud Prevention16:05 Emerging Threats and New Technologies18:53 The Cat and Mouse Game of Fraud Detection21:34 The Future of Fraud Prevention Technology26:44 The Impact of Crypto on Fraud31:52 Conclusion and Future Outlook#cybersecurity #fraudprevention #fintech #scamalert #ai

    33 min

  6. APR 10

    The Real Future of Fraud Fighting

    In this episode, we are joined by Tamas Kadar, CEO of SEON, who shares insights on how AI and automation are transforming fraud detection, the evolving role of fraud analysts, and best practices for implementing AI responsibly in fraud prevention. The report we reference in the session: https://seon.io/landing/2026-fraud-and-aml-leaders-report/?utm_source=leading-detection&utm_medium=referral&utm_campaign=content-release_fraud-aml-survey-horizontal_fy26-q1&utm_content=podcast_fraud-aml-survey-horizontal_fy26-q1Key Topics • AI and automation in fraud detection • Evolution of fraud analyst roles • Best practices for AI implementation in fraud prevention Chapters 00:00 Introduction to Fraud Detection and AI 02:37 Evolution of Fraud Detection Algorithms 05:15 The Role of AI in Fraud Analysis 07:52 Challenges in Implementing AI Solutions 10:36 The Human Element in Fraud Detection 13:07 Setting Realistic Expectations for AI in Fraud 15:46 Future of AI in Fraud Detection 20:46 Integrating AI with Compliance and Historical Insights 22:48 Proactive Fraud Prevention Strategies 25:20 Testing and Evaluating Fraud Detection Tools 27:08 The Challenge of Automation in Fraud Management 31:06 The Rarity of Skilled Fraud Practitioners 34:32 Building Effective Fraud Teams and Tools 38:19 Future Trends in Fraud Prevention and Vendor Dynamics #FraudPrevention, #AIinFraud #FraudAnalytics #Tech

    47 min

  7. MAR 30

    An Introduction to HoneyBotting

    This episode with host Matt Brady explores HoneyBotting, a defensive cybersecurity technique that uses AI decoys to combat scams and fraud. Joe Tallett, co-founder and CEO of Aviel Intelligence, shares insights on how HoneyBotting is evolving in response to the growing sophistication of scammers, the technical infrastructure involved, and the ethical considerations. Key Topics • Honeybotting as a defensive technique against scams • The evolution of social engineering and AI in fraud • Technical infrastructure for HoneyBotting and scam detection • Ethical considerations in deploying HoneyBots • The role of AI in the cybersecurity arms race Chapters 00:00 Introduction to HoneyBotting and Its Importance 03:11 The Evolution of Scamming and Cybersecurity 06:36 The Infrastructure of HoneyBotting 08:49 Methodology of HoneyBotting 10:54 Understanding Hooks in Scamming 13:02 Differentiating Between Legitimate and Illegitimate Marketing 15:13 Ethical Considerations in HoneyBotting 17:51 Utilising Intelligence to Combat Scams 19:15 The Intersection of Financial Crime and Cybersecurity 21:27 The Arms Race: AI vs. AI in Scamming 25:26 Future of Aviel Intelligence and Closing Thoughts #CyberSecurity #AIsecurity #SocialEngineering #CyberDefense #Deepfake

    27 min

  8. MAR 23

    Moving fraud detection into real-time

    In this conversation, Shay Yinusa discusses the critical shift towards real-time fraud detection and the importance of leveraging technology, particularly AI and machine learning, to stay ahead of increasingly sophisticated fraudsters. The discussion covers the current state of fraud detection, the challenges faced in implementing advanced technologies, and the necessity for collaboration and information sharing within the financial crime prevention community. Shay emphasises the need for organisations to be proactive and prepared for future challenges in fraud detection. Key Takeaways • We need to rely on more technology to detect fraud. • Fraud detection has evolved from static rules to real-time monitoring. • Real-time means making decisions at the moment of the transaction. • AI and machine learning are crucial for reducing false positives. • Collaboration and information sharing are essential in financial crime prevention. • Organisations must keep up with the evolving landscape of fraud. • Technology can help analysts focus on high-risk cases. • There are challenges in implementing AI effectively. • The future of fraud detection requires proactive thinking. • We must ensure that technology is used properly to prevent fraud. Chapters 00:00 The Shift to Real-Time Fraud Detection 04:57 Understanding Real-Time Monitoring 09:15 The Role of Technology in Fraud Prevention 14:01 Challenges in Implementing AI and Machine Learning 18:46 The Future of Fraud Detection 23:22 Collaboration and Information Sharing in Financial Crime 28:06 Looking Ahead: Opportunities and Concerns #fintech #ai #cybersecurity #machinelearning #fraudprevention

    29 min
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About

Leading Detection: Where the world’s top fraud fighters talk shop. Hosted by Matt Brady, the industry’s leading fraud recruiter and founder of Sedulo Search, this is your front-row seat to the future of fraud prevention. Join us as we talk tech and tactics with leaders from BioCatch, Sardine, SEON, Sumsub, and more. We dive into: • War Stories: Hard lessons from the front lines. • The Tech Edge: Leveraging AI to stay ahead. • The Network: Strategies to disrupt fraud together. Subscribe for weekly drops. Let’s detect, disrupt, and do better.

Information

  • Creator
    Sedulo Search
  • Years Active
    2025 - 2026
  • Episodes
    30
  • Rating
    Clean
  • Copyright
    © Sedulo Search
  • Show Website
    Leading Detection