Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Defence in depth has evolved every time the technology landscape has shifted. The internet, virtualisation, cloud, SaaS. AI is the next shift, and the old model isn't keeping up. 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 once again by Martin Voelk, co-founder of SpartanX and an ethical hacker with nearly 26 years in cybersecurity.

This episode explores how defence in depth is changing in an AI enabled business world, where code driven systems, supply chain risk and offensive AI are moving faster than defenders can react. It looks at why human in the loop is failing, why visibility still comes too late, and what modern cyber defence needs to become next.

AI is moving so fast that even security professionals feel they are staring over an event horizon without knowing what comes next. Public information alone is already unsettling, and the fear grows when you consider what is happening beyond open sources, from hidden capabilities to post quantum risk no one has fully mapped yet.

The UK is banning social media for children and I completely support protecting kids from harmful content. But I'm deeply concerned about what comes next. Age verification requirements, VPN restrictions, OS-level validation - the scope keeps expanding beyond the original intent. History shows this pattern: laws start with good intentions, then governments abuse them.

A trusted security professional with powerful AI access is still a human under pressure. If someone is unemployed, desperate or offered money to look the other way, these tools become much harder to regulate and far easier to misuse.

AI used to be something security vendors built into their own products. Now OpenAI is going direct, positioning itself as the layer that security runs on. 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 Jon Care, Head of the AI Practice at KuppingerCole, to unpack OpenAI's launch of Daybreak.

AI built exploits and AI driven defence are now colliding in the same battlefield, which changes cyber conflict at machine speed. The new argument is simple, if attackers already use AI offensively, defenders need AI native defence to keep up.

This episode explores Daybreak, OpenAI’s new cyber capability, and the wider AI arms race it signals across the security market. It covers AI attacking AI, access control, vendor dependency, missing oversight and why the future of cyber power may be decided by whoever controls the models.

Data on its own is only raw material. It becomes information when it is structured, and it becomes intelligence when you add business context, which is what turns cyber facts into decisions leaders can act on.

Third party risk used to focus mainly on legal and financial checks. Now organisations have to think about a much wider set of issues, from cyber posture and resilience to operational dependency and concentration risk across a growing supplier web.