Browsing Tag
AI Control
2 posts
AI control research and engineering approaches for monitoring, limiting, and responding to risky or misaligned AI agent behavior.
DeepMind’s AI Control Roadmap Makes Agent Security a Runtime Problem
Google DeepMind’s AI Control Roadmap treats powerful internal AI agents as systems that need monitoring, access limits, response plans, and shutdown paths. The framework is a signal for enterprises moving from chatbots to tool-using agents: alignment claims are no longer enough if the agent can touch code, data, infrastructure, or security workflows.
Google DeepMind’s AI Control Roadmap Treats Agents Like Insider Threats
Google DeepMind released an AI Control Roadmap for securing powerful internal AI agents. The plan borrows from cybersecurity, maps rogue-agent tactics to a MITRE ATT&CK-style taxonomy, and lays out detection and response tiers for systems that may soon act faster than human reviewers can supervise.