Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI models that generate code are also the best at exploiting it. Here’s why independent verification, not the model itself, is the only trustworthy answer. This month, the US government ordered Anthropic to suspend access to its most capable models, Mythos 5 and the newly released Fable 5, for all foreign nationals, citing national security. The trigger was a single reported jailbreak that let one of those models slip past its own guardrails on cybersecurity tasks.

The UK’s Cyber Security and Resilience Bill is moving through Parliament and is expected to receive Royal Assent in the 2026–27 session. If you work in IT or security, you’ve likely already heard about it. If your organisation isn’t a hospital, utility, or bank, you may assume it doesn’t apply to you. However, no matter what field you are in, its worth taking a second look and closely evaluating how the legislation may affect you.

AI adoption in the DevOps field has been extensive. Developers use agents daily to broaden context, automate coding, prototype, etc., saving time and minimizing the footprint of mundane tasks. But it’s not all about gains. Agentic AI enables and introduces security threats that were unknown just a few years ago. With machine speed and scale, these can impact your corporate repos in a number of highly dangerous ways. The trend is on the rise, including at the level of popular DevOps platforms.