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[ARTICLE · art-139067] src=blog.checkpoint.com ↗ pub= topic=ai-policy verified=true sentiment=↑ positive

Workforce AI Security Policy Management Is Now Conversational

Check Point released the Workforce AI MCP, its own Model Context Protocol server for Workforce AI Security, letting administrators query, analyze and manage employee AI usage policy in natural language through a compatible AI client. The server covers users, managed assets, GenAI application usage, DLP data types, and agent and MCP activity in a single conversation, and supports creating and updating rules by request. The release replaces filter-, screen- and rule-by-rule workflows with conversational policy management.

read1 min views1 publishedSep 23, 2026

In this article The new Workforce AI MCP is Check Point’s own Model Context Protocol server for Workforce AI Security. Connect a compatible AI client and you can query, analyze, and manage your employee AI usage policy in natural language instead of working through filters, screens, and individual rule checks. →ask plain questions such as which rule applies to a given user and application, or whether a rule is shadowed by a higher-priority one →work across users, managed assets, GenAI application usage, DLP data types, and agent and MCP activity in a single conversation →create and update rules by request […]

The post Workforce AI Security Policy Management Is Now Conversational  appeared first on Check Point Blog.

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