From Access Control to Outcome Control: Securing AI Agents with Check Point and Google Cloud

AI is transforming software functionality, shifting from merely processing requests to making decisions and taking actions, which introduces new security risks that require more than just access control. Google Cloud's Gemini Enterprise Agent Platform offers a centralized control point for managing identity, access, policy enforcement, and observability in agentic systems. However, the focus must extend beyond access to evaluating agent behavior and governing outcomes. Check Point, enhanced by Lakera, complements this with a real-time decision layer that assesses agent actions, ensuring they are appropriate in context and protecting against risks like prompt injection and data exposure. This integrated approach enables organizations to securely expand AI adoption by not only managing connectivity but also securing how AI agents behave. Check Point's integration with Google Cloud's platform will be available in late June 2026, offering a comprehensive security workflow from visibility to real-time protection.

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