Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

As more organizations move past experimentation and start planning real AI agent deployments, the same set of concerns keeps surfacing in our conversations with security teams. Whether the worry is a shadow agent that shows up uninvited or a sanctioned agent going rogue, the questions tend to cluster around control: These are the right questions to be asking, and they share a common answer that’s more concrete than most people expect. AI agents are only as dangerous as the privileges they can reach.

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.