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. -2 j

    What actually is VAMP?

    Michael Jabbara, SVP at Visa, joins the show to break down VAMP (Visa's Acquirer Monitoring Program): what it is, why Visa built it, and what merchants and acquirers actually need to do to stay compliant. He shares real data showing that fixing fraud and dispute issues doesn't hurt growth; it actually boosts approval rates and helps businesses grow faster. ► Subscribe to the Leading Detection Podcast: @sedulo_search ► Listen on Spotify: https://open.spotify.com/show/6ci2UpvNNmaLBrXimQ9pe3?si=pF2pE-0GS-6woZCZuhnejQ ► Listen on Apple Podcasts: https://podcasts.apple.com/us/podcast/leading-detection/id1854719167 More from Sedulo Search - Technical Talent For Fraud Prevention: ► Website: https://www.sedulo.io ► LinkedIn: https://www.linkedin.com/company/sedulo-search/ ► Follow Matt Brady: https://www.linkedin.com/in/mattbrady-sedulo/ Sedulo Search is a retained recruitment firm that places product, ML, engineering, and solutions talent in fraud prevention. If you're hiring or looking for your next role in fraud, get in touch: https://www.sedulo.io/fraud-insights#collaboration Summary In this episode, we explore the Visa Acquire Monitoring Program (VAMP), a crucial initiative to combat outlier fraud and dispute behaviour in digital payments. Michael Jabbara from Visa shares insights on how VAMP works, its impact on growth and security, and how merchants and acquirers can leverage it for long-term success. Key Topics VAMP's purpose and originHow VAMP detects outlier fraud and disputesImpact of VAMP on merchant growth and securityThresholds and remediation strategies in VAMPEvolving threats in digital payments and future predictions Chapters 00:00 Introduction to the episode and guest 02:22 What is VAMP and its origins 03:23 Design and evolution of the Visa Acquire Monitoring Program 04:18 Thresholds and incentives for upstream controls 05:21 Why digital payments growth necessitated VAMP 06:11 Early results and learnings from VAMP implementation 07:29 Impact of thresholds on merchant growth and risk 08:43 Remediation strategies and long-term benefits 10:19 False positives and improving approval rates 11:10 The relationship between risk, security, and growth 12:44 Operational differences before and after VAMP 13:31 Explaining VAMP to merchants and acquirers 15:06 Control frameworks and best practices for fraud prevention 16:52 Global consistency and regional adjustments 18:36 The importance of evolving fraud prevention programs 20:25 Cardholder impact and fraud behavior 22:27 Future trends and program evolution 24:39 Advising on upstream controls and best practices 28:48 Summary of VAMP's benefits for merchants and acquirers 29:56 Final thoughts and resources for further information #VisaVAMP #FraudPrevention #DigitalPayments #PaymentSecurity #RiskManagement

  2. 26 août

    Fraudsters aren't sleeping

    Hanjo Seibert, Managing Director of Risk & Compliance and TED speaker, joins Leading Detection to break down why fraudsters are innovating faster than the institutions meant to stop them — and why fixing it comes down to data, agile teams, and bold leadership, not just technology. ► Subscribe to the Leading Detection Podcast: @sedulo_search ► Listen on Spotify: https://open.spotify.com/show/6ci2UpvNNmaLBrXimQ9pe3?si=pF2pE-0GS-6woZCZuhnejQ ► Listen on Apple Podcasts: https://podcasts.apple.com/us/podcast/leading-detection/id1854719167 More from Sedulo Search - Technical Talent For Fraud Prevention: ► Website: https://www.sedulo.io ► LinkedIn: https://www.linkedin.com/company/sedulo-search/ ► Follow Matt Brady: https://www.linkedin.com/in/mattbrady-sedulo/ Sedulo Search is a retained recruitment firm that places product, ML, engineering, and solutions talent in fraud prevention. If you're hiring or looking for your next role in fraud, get in touch: https://www.sedulo.io/fraud-insights#collaboration Episode summary In this episode, Hanjo Seibert discusses the evolving landscape of fraud detection and prevention, the impact of technological innovation, and strategic approaches for financial institutions to stay ahead in the fight against fraud. Key Topics Evolution of fraud detection over the past decadeImpact of generative AI and automation on fraud schemesStrategies for agile implementation of fraud prevention toolsThe importance of organisational culture and leadership in innovationDifferentiating between fraud and AML challengesThe significance of data-driven insights in fraud detectionClient interaction design as a fraud prevention measurePredictions for fraud trends in the next 12-24 months Chapters 00:00 Introduction and guest background 02:25 Evolution of fraud detection over 10 years 04:37 Challenges of outdated solutions and implementation timelines 06:02 Shortening timelines as an advantage for market winners 07:27 Fraud innovation versus regulatory constraints 08:47 Fraud as a sandbox for broader compliance innovation 10:17 External factors and social engineering in fraud 11:38 Designing customer journeys with fraud controls 13:53 Real-time fraud detection challenges 17:29 Industry questions on scams and client education 19:33 Leveraging technology and AI in fraud schemes 22:49 Advising clients on fraud and technology strategies 25:10 Growing fraud problem and industry awareness 27:03 Barriers to innovation: change management and culture 28:25 Designing future-proof fraud prevention architectures 30:28 Outlook for the next 12-24 months 32:21 Leadership and organisational change for fraud innovation 34:48 The role of executive leadership in driving change 36:00 Predictions for fraud trends and technological advances 38:03 Closing remarks and contact information #FraudDetection #FinancialTechnology #AI #AML #FraudPrevention

  3. 18 août

    The Future of Identity Verification

    Deepanker joins us to discuss the evolution of identity verification, the challenges of fraud in digital spaces, and the future of adaptive security measures. This episode explores how technology and behavioural signals are reshaping trust and security in online transactions. Key Topics The evolution of identity verification from face-to-face to digitalThe impact of technology on fraud methods and detectionThe importance of behavioural signals in securityThe role of context and continuous verification in fraud preventionEmerging risks like age assurance and workforce fraud Chapters 00:00 Introduction to Deepanker Saxena and IDV 02:04 The impact of technology on fraud methods 04:22 The rise of remote fraud and technological countermeasures 06:30 The importance of multi-vector verification 09:09 The role of context in fraud detection 11:21 The significance of platform-wide context and history 13:42 Predictive models and understanding user behaviour 15:20 Continuous identity verification throughout the customer lifecycle 17:12 Seamless user experience with subtle signals 20:10 The rise of age assurance and its importance 21:26 Risks associated with digital age verification 22:56 Emerging risks in workforce verification 24:38 Fraud rings and sophisticated workforce fraud tactics 27:04 The ongoing evolution of fraud tactics 27:59 The concept of agentic fraud and prompt injections 29:31 The importance of binding identity to agents 32:20 The future of identity and agent-based verification 33:19 Building a comprehensive ecosystem of identities 34:14 The impact of agent-based systems on daily life 35:20 Emerging trends and future challenges in identity verification #cybersecurity #techpodcast #digitalidentity #fraudprevention #biometrics

  4. 10 août

    The Current State of Fraud & Financial Crime

    In this episode, Colin Parsons from Nasdaq Verafin discusses the current state of financial crime, the impact of AI on fraud, and innovative strategies for detection and prevention. Discover how industry leaders are adapting to rapid changes and leveraging new technologies to combat fraud effectively. Key Topics Rise in global financial crime to 4.4 trillion annuallyIncrease in authorised scam losses by 19.3% over two yearsShift from human-scale to machine-scale fraud driven by AIImportance of network data and consortium insights in detectionProactive fraud prevention beyond real-time transaction analysisRole of agentic AI in enhancing investigator efficiencyThe impact of AI models and agentic AI workforce in fraud detectionFuture trends: more scams, credential stuffing, and vulnerabilities Chapters 00:00 Introduction and guest introduction 00:44 Current mood among fraud teams and industry uncertainty 02:07 Overview of the global financial crime report 03:06 Rise in financial crime and fraud losses 04:40 Impact of AI on fraud and scams 06:11 Shift to machine-scale fraud and deep fake scams 07:09 Factors driving increased sophistication and volume of fraud 09:07 Shift from cyber to human scam focus 10:32 Education and friction in fraud prevention 12:22 Using data and context to identify scams earlier 15:08 Network approach and consortium data in fraud detection 18:22 Real-time vs proactive fraud prevention strategies 19:13 Leveraging AI to filter signals and reduce noise 20:40 Unified view for investigators and AI models 21:20 Role of agentic AI in fraud investigation 23:36 Adoption and surprises with agentic AI workforce 25:38 Combining AI with network insights for effectiveness 26:25 Predictions for the next 6-12 months in fraud 28:11 Resources and contact information for further learning #financialcrime #fraudprevention #ai #cybersecurity #fintech

  5. 4 août

    The reality of AI and ML in fraud prevention

    In this episode, Eugeny Malyutin from SUMSUB discusses the realities and hype around AI and ML in fraud prevention, exploring how fraud tools have democratised, the current state of AI in fighting fraud, and best practices for deploying AI systems in regulated environments. Key Topics The democratisation of fraud tools and its implicationsCurrent state and future of AI and ML in fraud detectionBest practices for deploying AI in regulated environmentsThe role of human oversight in AI-driven fraud preventionChallenges and opportunities with generative AI and deepfakes Chapters 00:00 Introduction to the episode and guest 03:06 Hype versus reality in AI-driven fraud agents 08:00 Differences in applying ML in fraud versus other industries 12:04 Building a modern, multi-model fraud detection system 14:15 Speed of fraud evolution and detection challenges 15:12 Data versus models: what is more important? 16:22 Detecting new fraud patterns with data and AI 17:02 Automating data labeling and improving models 18:33 Balancing fraud detection and customer experience 21:46 From demo to production in regulated environments 22:17 Regulatory requirements for AI in fraud detection 23:19 The importance of infrastructure and continuous evaluation 24:11 What typically breaks when scaling AI systems 25:41 Reducing confidence errors in large language models 28:35 Generative AI's role in fraud detection and analysis 29:50 Using AI for document analysis and environment configuration 33:22 The hype around generative AI and its limitations 34:19 Hiring for AI and ML in fraud prevention 36:44 Onboarding new talent from other domains 38:20 Eugeny's outlook for AI in the second half of the year #AI #Cybersecurity #FraudDetection #Deepfakes #GenerativeAI

  6. 28 juil.

    Fraud as a Product

    In this episode, Pedro Sanzovo shares his journey into fraud prevention, the evolving role of AI, and how data-driven strategies are shaping the future of anti-fraud technology. Discover insights on balancing AI advancements with fraud defence and the importance of curiosity in this dynamic field. Key topics Pedro's journey into fraud preventionThe role of open banking in fraud detectionAI advancements and challenges in fraud preventionData assets and their impact on fraud defenceThe future of fraud products and industry trends Chapters 00:00 Introduction and Pedro’s journey into fraud 02:04 Starting in AML and fraud prevention at Palantir 04:10 Founding a fraud prevention company in Brazil 06:05 Acquisition by Signified and role in fraud at checkout 07:46 Data infrastructure and the evolution of fraud detection 09:58 Open banking’s influence on fraud prevention 12:00 The importance of quality data and layered defences 13:51 Balancing AI advancements with fraud prevention challenges 15:48 Technologies like deepfakes and evolving fraud tactics 18:00 The ongoing battle against fraud and AI’s role 20:02 Leveraging AI to empower investigators and improve defences 21:57 Transforming fraud decisioning with sequential models 24:06 Change management and industry adoption of new tech 26:06 The future of fraud as a growth enabler 28:01 The blurring lines between fraud, credit, and marketing 29:57 Emerging trends: first-party fraud and industry evolution 32:05 Final thoughts and Pedro’s advice for aspiring fraud professionals #FraudPrevention #AIInFraud #DataDrivenSecurity #OpenBanking #FraudDetectionStrategies

  7. 15 juil.

    Shifting Left: The Cyber Fraud Fusion

    In this episode, Shrivu Shankar, VP of AI at Abnormal AI, discusses the evolving landscape of cybersecurity and fraud detection. We explore how AI is transforming defence strategies, behavioural detection, and the importance of explainability in AI systems. #Cybersecurity #AI #MachineLearning #FraudDetection #SecurityAutomation

  8. 6 juil.

    Fraud as a Service: the underground industry.

    In this episode, Bobbie Chen, a fraud and risk PM at Twilio, shares insights into the evolving landscape of bots, AI-powered attacks, and the underground toolkit used by bad actors. Discover how fraud as a service operates, the tools hackers leverage, and what organisations can do to defend themselves. Key Topics AI-powered bots and their evolutionUnderground toolkit used by bad actorsFraud as a service and reselling toolsAnti-detect browsers and evasion techniquesThe impact of AI on fraud and securityOrganised crime and state-sponsored cyber threatsData sharing and organisational collaboration in fraud preventionEmerging trends in bot attacks and scamsVerifiable credentials and identity verificationReducing friction while maintaining security Chapters 00:00 Introduction to Bot Threats 02:45 The Evolution of Bots and AI 05:56 Understanding the Underground Toolkit 09:08 Fraud as a Service 12:13 The Role of Mule Accounts in Fraud 15:02 The Industrialisation of Fraud 17:46 Data Sharing and Organisational Challenges 20:58 The Importance of Information Sharing 23:50 Current Trends in Bot Attacks 26:52 Future Innovations in Fraud Prevention #Cybersecurity #ArtificialIntelligence #CyberCrime #FraudPrevention

Tout afficher (41)

À propos

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.

Informations

  • Création
    Sedulo Search
  • Années d’activité
    2025 - 2026
  • Épisodes
    41
  • Classification
    Tous publics
  • Copyright
    © Sedulo Search
  • Site web de l’émission
    Leading Detection