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Thomas Owen explains why he sees almost all security failures as access control failures rooted in human identity, and how measurable, causal testing can actually shift intrinsic staff behaviour rather than just producing a click rate on a dashboard. He also sets out where AI has changed the economics of phishing and deepfakes, and where he draws the line between protecting staff and quietly surveilling them.
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جستجوی اپیزودهای گذشته
اپیزودهای قبلی Cyber Heard را جستجو کن.
قسمت های دیگر در این پادکست
A university cyber security programme leader explains why graduates struggle to break into the industry, how AI is quietly removing the junior tasks that used to build analyst judgement, and what students can do instead to stand out.
A veteran software engineer turned fractional CTO explains why AI coding tools act as an accelerator pedal for both good and bad engineering habits, why shadow AI use creeps in when official tools are too restrictive, and why automating a process beats relying on written guidelines to fix recurring…
Joe Hubback explains why cyber risk quantification only really works when it's built around reasonable worst case scenarios, why third party and OT risk are often more about people than technology, and why he believes the industry's biggest blind spot is behaviour, not tooling.
A CISO explains why point-in-time compliance gives a false sense of assurance, how to answer the board's exposure question without hiding behind a heat map, and where AI is genuinely helping security teams connect data that used to sit in silos.
Bruno Bossola explains why dependency and supply chain risk keeps slipping past security teams, and why the fix is rarely another scanner but a proper process across the whole development lifecycle. He also sets out why AI coding assistants are quietly reintroducing vulnerable libraries at scale.
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