Check Point to Integrate AI Defense Plane with Google Cloud to Help Secure AI Agents with Integrated Discovery, Governance, and Runtime Protection
As enterprise AI moves beyond chat assistants to autonomous agents that invoke tools, query data, and execute workflows, traditional security controls are insufficient, and security is no longer just about who has access, but what AI is allowed to do. Organizations need guardrails at the point where AI risk becomes real: runtime, in production, across live agent interactions.
"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 behavioral protection," said
This integration will deliver three layers of agent security:
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Full Visibility into
Agent Estate : automatically inventories all agents deployed acrossGoogle Cloud environments, including their components, tools, and Google Cloud Model Context Protocol (MCP) server connections -
Enforce Controls Before Deployment: enables security teams to define and enforce policies: allow and deny lists for MCP servers, tools, and skills; agent posture policies that flag or block risky configurations; and centralized policy management across the entire agent estate
- Runtime Guardrails in Production: 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
"
Check Point's AI Defense Plane integration with Google Cloud Agent Gateway and Agent Registry will be available in late
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