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What’s up fraud fighters, and welcome back to Fraud Forward!
This episode opens a little differently. And if you are not paying close attention, you will probably believe it was me. It sounds like me, it looks like me, but every bit of it is a deepfake created with artificial intelligence in about twenty minutes for less than five dollars. That is not a future threat. That is today.
Andrew Austin is one of my favorite people to talk to because he does not do hype. He spends a lot of time exploring where emerging technology meets fraud risk. And this is one of the most practical conversations I have had on the show. We are not here to scare anyone. We are here to make sure fraud fighters understand exactly what they are up against and how organizations need to start thinking differently about deepfake fraud and AI voice cloning.
We walk through the full landscape of deepfake technology together, from voice cloning to live face swapping to lip sync. We talk about what each one costs, how convincing each one is, and where criminals are already using deepfake scams today. Andrew breaks down why identity verification is the most vulnerable point for financial institutions right now, why real time detection of AI-generated content is still an unsolved problem, and why fraudsters do not need Hollywood quality deepfakes to be effective. They just need to be convincing enough.
We do not stop at the threat. We spend the second half of the conversation talking about defenses, device intelligence, behavioral biometrics, consortium data, friction design, and why employee awareness and organizational culture still matter as much as any technology investment. Andrew also shares what excites him about where AI is headed on the fraud fighting side, and what he thinks every CISO should already have on their roadmap to combat AI fraud.
Fraud has always been built on manipulating trust. AI does not change that. It just gives criminals a far more convincing disguise.
What you’ll hear in this episode:- How Andrew created a convincing deepfake in twenty minutes for less than five dollars, and what that means for fraud teams
- The difference between voice cloning, live face swapping, and lip sync technology, and the distinct fraud risk each one creates
- Why deepfake scams do not need to be perfect to work, and how criminals are already exploiting that reality
- Where financial institutions are most vulnerable to AI-generated content right now, and why onboarding and IDV top the list
- Why real time detection of AI-generated video content is still not a solved problem
- How device intelligence, behavioral biometrics, and consortium data work together to close the gaps IDV alone cannot cover
- Why employee awareness and organizational culture are just as important as any technology investment
- What Andrew thinks every CISO should already have on their roadmap to combat AI fraud
- Where AI is creating real operational efficiency gains on the fraud fighting side, and why Andrew is genuinely excited about it
You should listen to this episode if you:
- Lead fraud, risk, compliance, or financial crimes at a bank, credit union, fintech, or neobank
- Are responsible for identity verification, onboarding design, or authentication strategy
- Want a practical, non-sensational breakdown of what deepfake scams and AI voice cloning actually look like today
- Are building or updating your fraud program and want to understand where AI fraud risk fits into your existing controls
- Are new to fraud and want to understand how emerging technology is reshaping what fraud fighters need to know
