Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI adoption is accelerating across enterprises, often faster than security teams can respond. Employees are already using AI tools, copilots, and agents across SaaS apps, browsers, and workflows. That creates new risk around shadow AI, sensitive data exposure, runtime threats, and autonomous actions that traditional controls were never built to handle. In this video, we break down the four AI security challenges CISOs are facing right now.

When you need to recover an S3 bucket or Azure Blob container, you probably don't need all of it back at once. Your app config files, your latest data partitions, your active transaction logs — those need to be online now. Last year's holiday party photos — well, they can follow.

Anthropic's Project Glasswing and Mythos Preview model represent a seismic shift in cybersecurity. This AI is specifically tuned for vulnerability discovery, code review and security hardening at unprecedented speed. In this episode of Razorwire Raw, Jim Rees breaks down what Project Glasswing actually means for information security professionals and the concerns nobody's talking about yet.

The future is bigger than arguments between cyber, privacy, AI and business continuity specialists. Organisational resilience offers a clearer way to think about protection, bringing these competing disciplines together under one practical goal.

Autonomous AI agents are no longer experimental—they’re writing code, executing commands, and making decisions in real time. But as AI coding agents become more powerful, they’re also introducing a new and often invisible attack surface. In this video, we break down: AI agents can install packages, run scripts, and modify systems instantly—often without traditional visibility. That means security teams need to rethink how they monitor and protect their environments.