Treating Your Agents as Insiders: Lessons from the GDM AI Control Roadmap
I build and think a lot about cyber agents — AI systems that read code, call tools, touch infrastructure, and increasingly do real work without a human watching every step. So when Google DeepMind published GDM AI Control Roadmap (v0.1) (Phuong, Jenner, Simon, Ho, Shah, Farquhar & Coull, 2026), it piqued my interest. It’s the clearest articulation I’ve seen of a simple, slightly uncomfortable idea: the most useful framing for securing AI agents is to treat them as a potential insider threat — and to borrow, almost wholesale, the playbook we already use against malicious employees.