Episode

Deeper Deepfakes - Why You Can No Longer Trust What You See

Podcast
Razorwire Cyber Security & InfoSec Insights
Published
May 20, 2026
Duration seconds
3020
Processing state
not_requested
Canonical source
https://razorwire.captivate.fm/episode/deeper-deepfakes-why-you-can-no-longer-trust-what-you-see
Audio
https://op3.dev/e/episodes.captivate.fm/episode/4bd2d818-1afd-44a5-b3f7-5ee2b28404fb.mp3
JSON
/v1/public/podcasts/razorwire-cyber-security-infosec-insights-5584923/episodes/deeper-deepfakes-why-you-can-no-longer-trust-what-you-see
Markdown
/podcast/razorwire-cyber-security-infosec-insights-5584923/deeper-deepfakes-why-you-can-no-longer-trust-what-you-see.md

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Summary

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. Three key talking points: The industrialisation of deepfake attacks: Creating a convincing deepfake used to take time, expertise and significant effort. That barrier has almo…