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Scam Detectors

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Scam Detectors
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  • Online Shopping Scams
    In this episode of Scam Detectors, we explore the evolving world of online shopping scams, which are especially prominent during peak shopping periods like Black Friday.We hear from Patricia, who shares her story with a fake logistics company, a fraudulent contract and how she overcame the persistent threats to pay the scammers. Graham Cluley, a cyber security expert, talks about the sophisticated tactics hackers are using to exploit customers through popular travel sites. And Dave Laramy, Head of Group Fraud and Tax Evasion at Danske Bank, shares how banks are using AI and machine learning to protect customers.Listen to the full episode and find out how you can keep yourself safe online this holiday season.©2025 Visa. All rights reserved. Visa and the Visa logo are trademarks of Visa. Featurespace and the Featurespace logo are trademarks of Featurespace.This podcast is for informational purposes only and does not constitute legal or financial advice. Views expressed by guests are their own and do not necessarily reflect those of Visa or Featurespace.References:Visa’s Scam Disruption Service identified $1 billion in fraud, Visa data 2024-2025Research conducted by independent research agency Opinium - research of 2000 UK adults (weighted to be nationally representative) and 500 Senior decision makers in banks and financial institutions in the UK between 22nd August – 5th September.
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  • Crypto Scams
    In this episode, we dive into the growing threat of crypto scams, with Jane drawing on her own experience of being impersonated in AI-generated fake news articles. We hear from Karen, who was lured into investing thousands, while undercover scam hunter Jim Browning exposes a “recovery scam” in real time. Investigative journalist Jamie Bartlett discusses the infamous OneCoin fraud and the psychology behind get-rich-quick schemes.
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  • Scam Detectors LIVE
    To kick off Season 2, we have a very special LIVE episode of Scam Detectors, recorded at the Featurespace Customer Forum 2025. Host Jane Wakefield was joined by Steve Goddard, Becky Holmes and Suzanne Lynch for an insightful and energetic conversation on what keeps them up at night, the difference between scams and fraud and how we can better equip ourselves in the fight against the fraudsters.
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    41:40
  • Deepfakes
    The season finale of Scam Detectors plunges into the world of Deepfakes. That familiar voice at the start? It wasn't host Jane Wakefield – it was a deepfake!In this episode, the real Jane Wakefield explores how voice clones, capable of deceiving even close family, and deepfake videos placing everyday people into fabricated scenarios, are evolving at lightning speed.
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  • Money Mules
    The growing threat of money muling is explored in this episode of Scam Detectors, where criminals build entire "scam cities" to manipulate individuals into laundering stolen funds.We explore how these scammers use sophisticated tactics, often turning the tables by claiming you are being offered a legitimate opportunity, when in reality, they are setting you up to commit a serious crime.Learn how scammers recruit mules and get essential tips on spotting this type of fraud.
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About Scam Detectors

Think you can spot a scam? Think again. The Scam Detectors Podcast unravels the increasingly sophisticated schemes separating people from their money - and how consumers and financial institutions are fighting back. Hosted by BBC technology journalist Jane Wakefield, each episode explores a different type of scam through the eyes of everyday people, fraud fighters, household names, and industry experts. As fraud becomes the most common crime in the UK, accounting for 40% of all offences recorded in England and Wales, the need for awareness and protection has never been greater. From romance scams to investment fraud, we expose fraudsters' tactics to help you protect yourself and your money. Disclaimer: This podcast is for educational purposes and does not constitute financial advice. Any named entities in any of our episodes are not affiliated with Featurespace or Visa.
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