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    Workforce AI Security

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    Workforce AI Security is Check Points platform for securing AI interaction across browsers, SaaS, desktop tools, code assistants, MCPs, and agents for all employees. It delivers full visibility into AI usage of both sanctioned and shadow applications, so security teams can understand who is using which tools, what for, and what data is being shared. Real time, contextual AI powered DLP safeguards sensitive data by blocking high risk actions and enforcing granular controls across apps, users, data types, and actions such as file uploads, prompts, and copy paste. Together, Workforce AI Security gives organizations complete control over employees AI usage without slowing innovation.

    Overview

    Workforce AI Security is Check Points unified platform for securing every employees AI interaction. AI becomes embedded everywhere, on browsers, SaaS, desktop applications, code assistants, embedded copilots, MCPs, and autonomous agents. Organizations face a fast growing blind spot: employees are generating, sharing, and consuming sensitive data through tools that security teams cannot see or control. Workforce AI Security closes this gap. The platform provides complete visibility into all AI applications and agents used across the organization, whether sanctioned, shadow, embedded, or employee built. This includes visibility into modern generative AI workflows and agents, such as those built with Amazon Bedrock AgentCore. It automatically discovers which tools employees use, what prompts are submitted, what data is shared, and where sensitive information might be exposed beyond employee activity, the platform also surfaces the configuration and access posture of agents themselves; including what tools they are connected to, what permissions they hold, and whether any credentials or integrations introduce risk before the agent is ever invoked. W orkforce AI Security then applies governance policies that fit how employees actually work with AI. Security teams can set granular controls based on app, user, department, data type, or action. Risky behaviors such as sending corporate credentials to an unmanaged agent or pasting confidential documents into an unapproved model can be redacted or blocked. Finally, Workforce AI Security provides real-time protection against data exposure with AI powered contextual DLP. Protection is applied inline across browsers, SaaS, copilots, and autonomous tools, helping organizations adopt AI with confidence.

    Highlights

    • Discover every AI app and interaction: Gain full visibility into all AI usage across browsers, SaaS, desktop tools, code assistants, MCPs, and agents, sanctioned or shadow. Understand who uses which AI tools, for what purpose, and what data is being shared, with detailed session level insights and classification, as well as agent-level posture: what tools are connected, what permissions are granted, and where misconfigurations exist.
    • Govern with granular policies: Set precise controls per application, accurately identifying use cases and sensitive content and enabling consistent governance per app , user, data type, and action. Restrict risky prompts, block copy paste of sensitive data, and enforce file based rules. AI powered controls without slowing innovation.
    • Protect with real time, contextual AI powered DLP: Prevent sensitive data exposure by analyzing prompts and files in context, redacting risky content, and blocking high risk actions instantly. Apply differentiated policies for managed vs. unmanaged apps and secure connections between AI tools and corporate resources across all environments.

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