Leading Detection

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 evolution Underground toolkit used by bad actors Fraud as a...

In this episode, Shyam Menon discusses the evolving landscape of identity in the AI era, the challenges of fraud prevention, and how technology and organisational strategies are adapting to new threats. A must-listen for anyone interested in digital trust and security. Key Topics The changing definition of identity in the AI era Challenges of fraud prevention with deepfakes and manipulated videos...

In this episode, Matt Brady interviews Ben Herut to explore the complex world of chargebacks, fraud prevention, and the future of payment security. They discuss the origins of chargebacks, the rise of friendly fraud, and how emerging technologies like AI and real-time data sharing could revolutionise the industry. Key Topics History and purpose of chargebacks Rise of friendly fraud and online shop...

Exploring the impact of agentic AI on fraud detection and cybersecurity, with insights from Shimon Modi on evolving threats, trust management, and future strategies. Key Topics • Impact of agentic AI on fraud and cybersecurity • Shift from bot blocking to trust management • Behavioural biometrics and intent assessment • Economic implications of AI-driven fraud • Legal and liability issues in agent...

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

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...

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 patte...

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 a...

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 strategiesChap...

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&...

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...

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 info...

In this episode, Radhika Khatod, Group Product Manager for Machine Learning at Alloy, shares insights into how machine learning is revolutionising fraud prevention in financial services. She discusses the complexities of modern fraud, the limitations of rule-based systems, and the future of AI-driven detection methods. Key Topics The complexity of modern fraud and adversarial actors Limitations of...

In this conversation, Matt Brady and Chaitanya Sarda delve into the complexities of Know Your Business (KYB) processes, highlighting the challenges faced in standardisation, compliance, and fraud detection. They discuss the current state of KYB, the impact of AI on the industry, and the importance of effective vendor management. The conversation also touches on the evolving landscape of fraud and...

In this conversation, Matt Brady and Andrew La Marca explore the evolving landscape of cyber fraud and the necessity of integrating cyber and fraud detection efforts. They discuss the historical separation of these fields, the impact of technology and data on fraud strategies, the importance of data governance, and the role of synthetic data in fraud prevention. The conversation also touches on th...

In this conversation, Matt Brady and Dustin Eaton delve into the complexities of orchestrating fraud detection. They discuss the evolution from siloed point solutions to a more integrated approach that leverages data and AI. The conversation highlights the importance of understanding customer journeys, the challenges of building effective fraud detection systems, and the need for continuous learni...

In this conversation, Yuliya Kazakevich discusses the growing issue of merchant fraud, its evolution over the years, and the role of AI in detecting and preventing fraud. She emphasises the importance of continuous monitoring and the need for collaboration and data sharing within the industry to combat fraud effectively. The conversation also touches on regulatory challenges, the rising costs of f...

In this conversation, Julia Andreeva discusses the evolution of modern fraud, highlighting the increasing sophistication of fraud techniques, particularly with the rise of AI. She explains how fraudsters are now using AI to create synthetic identities and adapt their tactics in real-time, making it more challenging for traditional fraud prevention methods to keep up. The discussion also covers the...

In this episode, Matt speaks with Cecilie Fjellhoy, a victim of romance fraud who has transformed her experience into a mission to combat fraud. Cecilie discusses her journey from being a victim to becoming an advocate for fraud prevention, emphasising the need for friction in financial transactions to protect consumers. She highlights the importance of digital identity, the response of financial...

In this conversation, Jonathan Frost discusses the implications of Agentic AI on social engineering and fraud. He highlights the evolution of criminal tactics, the importance of privacy and ethics in fraud prevention, and the impact of regulatory changes on consumer protection. The discussion also covers international perspectives on fraud prevention and the future trends in AI and fraud. Key Take...

In this conversation, Hua from TikTok discusses the complexities of large transaction modelling and fraud detection. He emphasises the importance of combining traditional rules with advanced models, the challenges of managing numerous signals, and the evolving role of AI in detecting fraud. The discussion also included detection models. Key Takeaways Fraud detection combines traditional rules and...

In this episode of the leading detection podcast, host Matt and guest Boaz Valkin dismantle the modern scam economy. From pandemic-fueled surges to the psychological toll on victims, they examine why traditional awareness campaigns are falling short. Tune in to discover how next-gen background monitoring and AI-driven risk assessments are fighting back to build a safer digital future. Top Insights...

In this episode, Jeff Sakasegawa shares his extensive experience in fraud prevention and the nuances of identifying fraudulent documents. He discusses the instinctive ability to detect discrepancies, likening it to a 'spidey sense' for fraud. Jeff emphasises the importance of taking a moment to honour the pause when something feels off, suggesting that this instinct can lead to uncovering...

In this conversation, Matt Brady and Steve Lenderman discuss the evolution of fraud detection technology, the agility of fraudsters, and the importance of understanding the criminal mindset. They explore the shift from traditional rule-based systems to machine learning models, the challenges of real-time fraud detection, and the critical role of data in combating fraud. The discussion also highlig...

In this episode, Matt and Lucie discuss the evolving landscape of fraud, emphasising the importance of collaboration across industries and the role of AI in transforming fraud detection. They explore the dynamics of fraud, including the varying types and frequencies, and the technological barriers that hinder effective prevention. The conversation highlights the necessity of human interaction in f...