AI Control Roadmap

AI Control Roadmap

An AI control roadmap is a defense-in-depth plan for safely operating capable agents, especially when they may be imperfectly aligned or have access to sensitive internal systems.

Key points

  • Google DeepMind frames future agent safety as a systems-security problem around internal systems, not only a model-training problem [src-138].
  • The roadmap strengthens the case for containment, monitoring, permissions, audits, and response plans around capable agents [src-138].
  • For Robin, this is a governance signal: production AI strategy must include controls for what agents can access and do.

Related entities

Related concepts

Source references

  • [src-138] Rohin Shah and Four Flynn / Google DeepMind – "Securing internal systems against increasingly capable and imperfectly aligned AI" (2026-06-18)

Robin Cartier perspective

This page is part of Robin Cartier's working AI knowledge graph: a practical research layer for production AI, recommendation systems, experimentation, GEO, and agentic web readiness.

The useful next step is to connect this concept back to applied product leadership and operating models.

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