Treat AI agents as insider threats for security
Assume AI agents might not be aligned and act unexpectedly, like a rogue employee.
Treat untrusted AI agents as potential "insider threats".
This approach assumes that even highly capable AI agents might not be aligned with our goals and could act in unexpected ways. It's similar to how a company would treat a potential rogue employee who already has access to the office. This cautious assumption drives the development of robust security measures.
Build security protocols that assume an AI agent could intentionally or unintentionally cause harm, even if it's designed to be helpful.
Adopt a security mindset where AI agents are treated as potential insider threats. This means implementing safeguards that assume misalignment or unexpected behavior, similar to how organizations manage risks associated with human employees who have internal access.
- Securing the future of AI agents ↗Google DeepMind Blog · Google DeepMind Blog · Jun 16, 2026 · paraphrased
First seen on Subvolts Jun 16, 2026. Updated Sep 11, 2026. Spotted a problem? Tell us.
- Securing the future of AI agentsGoogle · Google DeepMind Blog · Jun 16, 2026
The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.
- HeuristicIncremental AI agent permission grantingGrant AI agents permissions based on verified behavior, building trust incrementally. · 5 min
- HeuristicLayered AI agent security approachCombine traditional safeguards with model alignment and system-level security. · 5 min
- HeuristicAI agents need time-awareness for runtime controlAI agents require a sense of time to predict, estimate, and control their own actions and execution duration. · 5 min
- HeuristicComposable controls for agent autonomy and safetyUse composable controls that perform single jobs, enabling agents to run with autonomy at appropriate safety levels. · 10 min
- HeuristicDefine agent approval loops as product design decisionsFrame human-in-the-loop requirements for agents as product design choices, not technical limitations. · 10 min
- HeuristicSafe autonomy depends on control placement, not restriction countFocus on where controls are placed and human judgment, not the number of restrictions, for safe agent autonomy. · 5 min
Questions people ask
- Which AI tools does this work with?
- Any current model. It was seen with in the sources.
- Where did this come from?
- Google DeepMind Blog (Google DeepMind Blog). Subvolts collected, normalized and credited it; the link above opens the original.

