Check Point Software Technologies has partnered with Google Cloud to integrate its AI Defense Plane platform with Google Cloud’s Gemini Enterprise Agent platform.
The integration combines centralised agent control with contextual intelligence and real-time behavioural protection, aiming to deliver security for enterprises deploying AI agents at scale.
This integration automatically inventories all agents deployed across Google Cloud environments, including their components, tools, and Google Cloud Model Context Protocol (MCP) server connections.
It also enables security teams to define and enforce policies via allow and deny lists for MCP servers, tools, and skills; agent posture policies that flag or block risky configurations; and centralised policy management across the entire agent estate.
In addition, the inegration adds real-time, context-aware protection inline with Agent Gateway. This includes detection and blocking of prompt injection attacks across agent inputs, tool responses, and multi-turn conversations; prevention of sensitive data leakage through agent responses and tool actions; and screening of agent tool calls before execution.
David Haber, VP of AI security at Check Point, said the emerging architecture for agentic security requires three layers: a control plane for identity and connectivity, a governance layer for policy enforcement, and a runtime intelligence layer for behavioural protection.
"Google Cloud's Enterprise Agent Platform provides the control plane. Check Point adds the other two," he said.
"We govern which agents, tools, and connections are allowed, and we inspect every action at runtime to determine whether it should proceed because in agentic systems, access alone doesn’t guarantee the right outcome."
“Through this new partnership, Check Point will use Google Cloud’s infrastructure to power new capabilities that can improve operations and create real-world value for businesses,” Vineet Bhan, director of security and identity partnerships at Google Cloud, said.
Availability of the integration is slated for late June.




