The Recruitment Trap
Easy Prey
Everybody is searching for ways to increase income. Unfortunately, MLMs often look like an easy way to start a business without taking on the cost of a traditional company. The pitch sounds simple. Buy the product, follow the plan, and put in the work. The numbers behind those promises often tell a different story. Today’s guest, Stacie Bosley, has spent years studying what really happens inside MLMs. She is a professor at Hamline University in Minnesota and holds a Ph.D. in applied economics. Her research covers multi-level marketing, consumer protection, income claims, and pyramid scheme...
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Convincing Deepfakes
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A familiar voice on the phone or a recognizable face on a video call used to offer some reassurance that you knew who you were dealing with. AI has changed that. Voice cloning, face swaps, and real-time video impersonation now allow scammers to convincingly pose as executives, job candidates, romantic interests, or even family members. Understanding how these attacks work and where they may be headed is a central part of Tom Cross’s work as Head of Threat Research at GetReal Security. Tom has spent more than 30 years studying cybersecurity threats, software vulnerabilities, and the methods...
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When Trust Becomes a Trap
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Most people use technology all day without giving much thought to what is happening behind the screen. We trust routers that may not have been updated in years, depend on internet systems few of us understand, and now turn to artificial intelligence for everything from travel plans to home repairs. That convenience comes with tradeoffs. In this episode, we look at the weaknesses built into our connected world and what happens when our technical knowledge fails to keep pace with the technology surrounding us. Sherrod DeGrippo leads threat intelligence for Unit 42 at Palo Alto Networks, where...
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Scam Compounds
Easy Prey
When most people think about online scams, they picture criminals sitting behind a screen and stealing from victims around the world. But in Southeast Asia, many of the people sending those messages are victims too. Some were promised legitimate jobs, flown across borders, trapped inside guarded compounds, and forced to scam others while trying to survive. In this episode, I talk with Ivan Franceschini, a lecturer in Chinese Studies at the Center for Contemporary Chinese Studies Asia Institute. After years of studying labor rights, civil society, and Chinese investment in Cambodia,...
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Sports Betting
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Sports betting is everywhere now. It is in the commercials, on the apps, wrapped into game broadcasts, and sold as a fun way to make sports more exciting. But behind the easy sign-ups and “risk-free” offers is an industry built on odds most people do not fully understand, fine print that can cost real money, and a business model that depends on customers losing. In this episode, I talk with Danny Funt, an investigative reporter and the author of Everybody Loses: The Tumultuous Rise of American Sports Gambling. His reporting on sports betting, politics, news, and sports media has appeared...
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Google Maps Scams
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Most people are not thinking clearly when they need a locksmith or a plumber. They are locked out, water is leaking, something broke, and they just want somebody nearby who can fix it. So they open Google, tap one of the first businesses that comes up, and assume the listing is real. Unfortunately, that is exactly the kind of situation scammers count on. In this episode, Mike Blumenthal, co-founder and analyst at Near Media, talks about fake local business listings and the ways bad actors have learned to game Google Maps. Mike has been following this problem for years, going back to the...
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Job Recruiter Scams
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Job hunting is hard enough without having to stop and ask whether the recruiter in your inbox is even real. My guest today, Jay Jones, ran into that problem firsthand after being laid off in December 2023. With his daughter due to be born just weeks later, Jay began receiving messages from recruiters that looked promising at first, but quickly turned out to be fake. Jay, also known as The Profiler, decided not to ignore what was happening. He started investigating the patterns behind these scams and has since identified and helped remove thousands of fake profiles, fraudulent companies, and...
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Bail Bonds Scams
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Getting a call that someone you love has been arrested is scary enough. Getting that call from someone who sounds official, knows just enough to seem credible, and says you have to send money right away is exactly the kind of moment scammers are counting on. Julie Henderson is the president of the North Carolina Bail Agents Association and has spent 24 years working in the bail bond industry. She started in the field almost by accident after applying for what she thought was a legislative assistant job, and she has stayed because she cares about helping people get through one of the most...
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Confessions of a Fraudster
Easy Prey
Technology keeps changing, but many of the most effective scams still come down to something very human: trust. My guest today is Tony Sales, co-founder of We Fight Fincrime and Underworld TV. Tony has a perspective most people in fraud prevention will never have. Earlier in his life, he was involved in organized financial crime and was once described in the UK press as Britain’s greatest fraudster. After years in that world, and after serving time in prison, Tony made the decision to use what he knew to help stop the very crimes he had once been part of. Today, Tony works with...
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Personal Safety
Easy Prey
Scams and safety threats don’t always announce themselves. Sometimes they start quietly, with a moment of distraction, a strange feeling you ignore, or a situation that shifts just enough to test whether you’re paying attention. My guest today is S. Gale Bleth, a personal safety educator, certified RAD self-defense instructor, speaker, and author of Aware: A Personal Safety Playbook for Leaving the Nest. Gale brings a deep background in crime prevention and safety education, including 16 years at Cal State East Bay and 16 years as a crime prevention specialist with the Hayward Police...
info_outlineA familiar voice on the phone or a recognizable face on a video call used to offer some reassurance that you knew who you were dealing with. AI has changed that. Voice cloning, face swaps, and real-time video impersonation now allow scammers to convincingly pose as executives, job candidates, romantic interests, or even family members. Understanding how these attacks work and where they may be headed is a central part of Tom Cross’s work as Head of Threat Research at GetReal Security.
Tom has spent more than 30 years studying cybersecurity threats, software vulnerabilities, and the methods attackers use to exploit technology. Before joining GetReal Security, he held leadership roles at IBM X-Force, Lancope, and Drawbridge Networks, and he has shared his research at major security conferences including Black Hat and DEF CON. His current work focuses on deepfake-enabled social engineering and the development of tools that can detect digital impersonation, including signs that are often too subtle for a person to recognize.
In this episode, we learn how little audio is needed to clone someone’s voice, why live video is no longer reliable proof of identity, and how deepfakes are being used in romance scams, investment fraud, identity theft, and remote hiring schemes. We also talk about AI agents that can carry on persuasive conversations, adjust their behavior based on a victim’s reactions, and repeat those tactics on a massive scale. The discussion offers a revealing look at why familiar advice for spotting fakes is quickly becoming outdated and what individuals and organizations will need to do differently as the technology improves.
Show Notes:
- [01:05] Tom shares how his early work in vulnerability research led to a career studying sophisticated cybersecurity threats.
- [03:32] Running a bulletin board system as a teenager helped spark an enduring interest in hacking and computer security.
- [06:11] A look back at early online communities, text-based games, Fidonet, and the pre-internet era.
- [09:36] The conversation shifts to deepfake research and the technology being developed to detect manipulated media.
- [11:29] Deepfakes are divided into audio, visual, file-based, and real-time forms, each creating different risks.
- [15:20] Modern voice clones can fool both people and biometric authentication systems, making specialized detection increasingly important.
- [18:30] Virtual backgrounds and other subtle processing artifacts may reveal manipulation even when nothing looks obviously wrong.
- [20:31] Deepfake detection has become another cybersecurity arms race as attackers continually improve their methods.
- [22:30] Romance scams, investment fraud, remote job schemes, and identity theft are among the growing uses of deepfake technology.
- [25:26] Scammers succeed by exploiting desires, expectations, and the human tendency to rationalize warning signs.
- [27:56] Large-scale phishing and business email compromise attacks only need a small percentage of targets to respond.
- [29:22] Criminal compounds in Southeast Asia use trafficked workers and deepfake tools to conduct scams on a massive scale.
- [30:27] North Korean remote workers may use stolen identities and shared deepfake personas to secure jobs at American companies.
- [33:45] Purpose-built criminal software combines face swapping with appearance-enhancing features designed for romance scams.
- [35:05] Common visual tests for identifying deepfakes are becoming unreliable as the technology advances.
- [39:24] Emotional investment makes detection even harder because people often explain away signs that something is wrong.
- [40:47] Building authentication into the internet could help people determine whether digital content is genuine.
- [42:13] AI agents may soon conduct automated scams that respond naturally, apply pressure, and adjust to a victim’s behavior.
- [45:14] Automation could allow criminals to target hundreds of thousands of people while making impersonation increasingly convincing.
- [46:22] Machine learning may create self-improving scams that test countless variations and concentrate on the tactics that work.
- [49:18] AI lowers the technical barrier to cybercrime by helping people create tools they could not build on their own.
- [51:06] Phones and messaging platforms may eventually require stronger controls as automated calls and texts become more common.
- [53:09] Digital signatures, watermarks, and verified content could help distinguish malicious deepfakes from authorized uses.
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