How to Secure the Future of AI Agents

AI agents are transforming productivity by autonomously performing complex tasks, from cyber defense to scientific discovery. In the U.S. alone, they are projected to generate $2.9 trillion in economic value by 2030.

However, as agents' capabilities improve, more sophisticated safeguards are needed. In case a model's alignment isn't perfect, Google has developed an 'AI Control Roadmap' that adds a system-level security layer. This works on the same principle as a driving instructor with dual controls preparing for a student's mistakes.

This roadmap focuses on three key areas:

• Threat Modeling Framework: Based on the MITRE ATT&CK framework, it treats untrusted AI agents as insider threats, systematically tracking attack tactics and techniques.
• Risk Mitigation Plan: Develops and deploys specific control measures to address identified risks.
• Continuous Verification: Conducts drills and tests to confirm that the defense systems actually work.