Deeper Deepfakes - Why You Can No Longer Trust What You See
It took 10 minutes and a free online tool to deepfake Jim’s voice, with no expertise and no cost involved.
Welcome to Razorwire, the podcast where we share our take on the world of cybersecurity with direct, practical advice for professionals and business owners alike. I’m Jim and in this episode, I’m joined again by Alexandra Jorissen from identifAI, alongside Lorenzo Zoffoli, a cybersecurity professional with 12 years of experience. Following the huge response to our first deepfakes episode, which set a bit of a channel record with the number of views, we go further into the technology, the threats and what organisations can actually do about it.
The episode opens with a deepfake of Jim’s voice, created by Lorenzo using a free online tool and 5 seconds of audio from our YouTube channel. It took 10 and cost nothing. That sets the tone for a conversation that goes well beyond what was covered in the first episode, into the industrialisation and scalability of deepfake attacks, the personalisation that makes them almost impossible to spot and why visual and audio content can no longer be treated as proof of truth.
From a Dutch bank discovering 46 fraudulent accounts opened by one person using deepfakes, to personalised attacks targeting family members and high net worth individuals, the threat has moved well beyond the boardroom. This episode gets into what organisations can actually do about it, from how detection technology works and where it fits in a security stack, to why verifying identity in digital spaces needs to become as normal as challenging someone without a badge in a physical office.
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Three key talking points:
- The industrialisation of deepfake attacks
- It’s not just organisations at risk anymore
- Why detection is now part of defence in depth
If you caught the first episode, this one goes further. If you didn’t, take a look! Either way, deepfakes aren’t just on their way. They’re already here.
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On why the real problem is what we’re not catching:
“We need to put doubt in any digital media we handle and get used to trying to verify if content coming from unknown sources can be manipulated or completely generated by AI tools.”
Lorenzo Zoffoli
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Listen to this episode on your favourite podcasting platform:
(https://razorwire.captivate.fm/listen)
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In this episode, we covered the following topics:
- The Industrialisation of Deepfake Attacks
- 46 Fake Bank Accounts at a Major Dutch Bank
- Personalised Social Engineering at Scale
- The Personal Risk: Family, VIPs and Romance Scams
- Why Seeing Is No Longer Believing
- How Deepfake Detection Actually Works
- Liveness Checks Are Already Being Bypassed
- Normalising Verification in Digital Spaces
- Deepfake Detection as Part of Defence in Depth
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For more information about us or if you have any questions you would like us to discuss email podcast@razorthorn.com.
If you need consultation, visit (https://www.razorthorn.com). We give our clients a personalised, integrated approach to information security, driven by our belief in quality and discretion.
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