Securing the future of AI agents
Google DeepMind just published the playbook for controlling AI agents. Here's what they're building.
Why it matters
As AI agents move from research to deployment, safety governance frameworks are becoming competitive advantages. DeepMind's AI Control Roadmap signals that enterprises will need both traditional security and real-time monitoring to operationalize agents at scale.
The key facts
8 to knowDeepMind published AI Control Roadmap framework
Combines traditional safeguards with real-time monitoring
Focused on securing internal systems and agent deployment
Published June 2026 — signals industry maturation in agent safety governance
Google DeepMind published AI Control Roadmap for agent security
Framework combines traditional safeguards with real-time monitoring
Addresses internal systems security for autonomous agents
Published June 16, 2026
Go to the source
Google DeepMind Blogdeepmind.google
Publisher excerpt: Securing internal systems with an AI Control Roadmap, combining traditional safeguards and real-time monitoring.