AI agents are moving into production fast. They read enterprise data, call tools, and take actions across business systems. That creates a new problem: an agent can be fully authenticated and authorized and still be manipulated into doing the wrong thing. Google Cloud’s Gemini Enterprise gives enterprises a central control plane for agents. Check Point extends that control plane with AI-specific risk assessment and real-time, context-aware protection. This post details where Check Point integrates and what it looks like for a security team. Google Cloud’s direction with agent orchestration, registries, and gateway layers signals a clear design pattern: centralized AI […]
This article has been indexed from Check Point Blog
Read the original article: