Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

What does a security leader actually do when an AI chatbot starts confidently revealing customer data that was never supposed to see the light of day? Alex has spent his career at the intersection of security and the hardest problems in tech—Chief Security Officer at Yahoo, Facebook, and SentinelOne, founder of the Stanford Internet Observatory, and now Chief Product Officer at Corridor, a startup focused on the security and safety of AI coding agents. If anyone knows what it looks like when AI ships faster than security can keep up, it’s him.

Which of your users can reach a sensitive app without ever hitting MFA? Most security teams can't answer that with confidence. Microsoft Entra ID and Conditional Access is powerful. But exclusions stack up, MFA coverage drifts, and risk-based protections go unused. This creates openings for fast-moving AI-powered attackers. Reach continuously validates your controls against your security intent, closes the gaps, and proves the risk reduction.

It is almost impossible to trust the source of an image or video anymore. On The Cybersecurity Defenders Podcast, Tamas Kadar, CEO and Co-Founder of SEON, explains how generative AI has reshaped what fraudsters can pull off. Setting up sophisticated fraud operations no longer requires coding skills, and synthetic identities and deepfake documents have become convincing enough that visual verification alone is no longer reliable.

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.