Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

There’s never a good time to lose a production database, but losing one to your own AI coding agent on a Friday afternoon has to rank near the bottom of the list. That’s the backdrop to the PocketOS incident, and it’s the clearest case yet for why AI agent security and intent-based access control belong at the top of every cloud security roadmap this year.

Singapore’s financial sector faces its most demanding regulatory environment yet in 2026. AI-powered cyberattacks, cloud-native banking infrastructure, and decentralised finance have pushed the Monetary Authority of Singapore (MAS) to sharpen its supervisory focus — and its expectations of every regulated institution. If you are a CISO, CTO, Head of Compliance, or technology risk officer at a Singapore financial institution, this guide answers the question your regulators are already asking.

MSPs today face growing security demands alongside increasing operational complexity. Disconnected tools and manual processes create noise, slow response times, and limit scalability. The solution? Automation and integration. By connecting security platforms with PSA and RMM tools, MSPs can streamline workflows, reduce alert fatigue, and improve service delivery, turning reactive processes into proactive, efficient operations.

Anthropic built a powerful AI model and then kept it on a short leash. The important part is not that a model found bugs, which has been coming for a while. What’s worth acknowledging is that Anthropic looked at what Mythos could do and decided broad release was a bad idea. Attackers do not need a perfect autonomous system. They need leverage.