The post Meta Introduces Agents Rule of Two for Enhanced AI Security appeared com. Rebeca Moen Nov 01, 2025 12: 29 Meta AI unveils the ‘Agents Rule of Two’ to mitigate security risks in AI agents, focusing on reducing vulnerabilities such as prompt injection. Understanding the Agents Rule of Two Meta AI has announced a new security framework known as the ‘Agents Rule of Two’ to address the growing security challenges faced by AI agents. This initiative aims to minimize the risks associated with AI, particularly focusing on vulnerabilities like prompt injection, according to Meta AI’s official blog post. The Challenge of Prompt Injection Prompt injection is a significant security concern in Large Language Models (LLMs), where malicious strings or data can lead AI agents to ignore developer instructions or perform unauthorized actions. For instance, an AI-powered email assistant could be compromised to leak sensitive information or send phishing emails if an attacker exploits this vulnerability. Framework Inspired by Existing Policies The ‘Agents Rule of Two’ is inspired by security policies from Chromium and concepts like Simon Willison’s “lethal trifecta.” It is designed to help developers navigate the trade-offs in deploying powerful AI agents, ensuring a balance between functionality and security. Key Principles of the Agents Rule of Two The framework dictates that AI agents should not satisfy more than two of the following properties within a session to mitigate the risks of prompt injection: [A] Processing untrustworthy inputs [B] Accessing sensitive systems or private data [C] Changing state or communicating externally If all three are required, the agent should operate under supervision, such as human-in-the-loop approval, to prevent autonomous actions that could lead to security breaches. Implications for AI Development This approach reflects Meta’s commitment to advancing AI technology while safeguarding user data and system integrity. By adopting the Agents Rule of Two, developers can create.