Razorwire Cyber Security & InfoSec Insights

The Rise of CTEM - Why AI Demands a New Approach to Security

Razorwire Cyber Security & InfoSec Insights

Show Notes

What happens when your organisation adopts AI faster than your security strategy can keep 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 by Martin Voelk, penetration tester and AI red teamer, and Jonathan Care, lead analyst covering the intersection of AI, cybersecurity and identity. We started out planning to talk about the rise of CTEM (Continuous Threat Exposure Management) and why traditional pentesting and vulnerability scanning can't keep up anymore. But the conversation quickly went further than that, into the real security risks of AI agents, prompt injection, vibe coding and the speed at which organisations are adopting AI without thinking about what happens when it goes wrong. Martin shares examples from his red teaming work of how AI agents can be tricked into exfiltrating data and executing malicious code, Jonathan makes the case for why identity needs to become a first class attack surface in any CTEM programme; and all three of us end up genuinely concerned about what happens when CISOs are expected to govern technology that's moving faster than anyone can keep up with. This one ended up not going quite as planned, and it's all the better for it. Three key talking points: Why traditional security testing can't keep up with AI and agent-driven attacks: Annual pentests and periodic vulnerability scans were built for a world where things changed slowly. Martin and Jonathan explain why that model is no longer suitable when new AI vulnerabilities are emerging daily, most of them without a CVE number attached, and why CTEM as a continuous programme rather than a one-off exercise is becoming essential. How prompt injection and invisible exploits are rewriting the rules of risk: Martin shares examples from his red teaming work where AI agents were tricked into exfiltrating data through a fake spellchecker and downloading malicious code disguised as a support tool. He and Jonathan discuss why prompt injections are so difficult to defend against, how they can be hidden in emails, PDFs, code and even voice, and why traditional security tools don't detect them. What CISOs and tech leaders must face as responsibility and risk escalate: Organisations are adopting AI faster than security teams can govern it, and CISOs are caught between being seen as obstructionist if they slow things down or negligent if they let things through. Jonathan and Martin get into the legal grey areas around who's responsible when an AI agent causes harm and why the lack of clear legislation makes this even harder to navigate.

If your organisation is adopting AI and your security model hasn't changed to match, this is a conversation worth listening to.

On why traditional security testing no longer works: “You have new releases and new technology popping up almost on a daily basis. And you have vulnerabilities popping up on a daily basis as well. The traditional model we have in place with regular penetration testing, once every three months, once every year, that doesn't cut it anymore.” Martin Voelk Listen to this episode on your favourite podcasting platform: https://razorwire.captivate.fm/listen In this episode, we covered the following topics: The Acceleration of AI Adoption Find out why organisations are pushing AI adoption at a pace that's leaving security teams behind and why the pressure from upper management to automate is creating serious blind spots. Continuous Threat Exposure Management (CTEM) Evolution Learn why CTEM is a programme not a product, how it differs from traditional vulnerability management and why it focuses on what an attacker can actually exploit right now rather than theoretical CVE scores. Limitations of Traditional Security Testing Understand why annual pentests and periodic vulnerability scans were built for a different era and why they can't keep up with a

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