Workforce AI Security is a solution designed to give organizations full visibility into how employees use AI tools and to protect sensitive data in real time.

It helps you:

• See every AI interaction in one place – so you can understand which tools are being used, how often, and for what types of tasks.
• Discover shadow AI and unmanaged tools – by identifying AI applications that employees use without IT approval or oversight.
• Protect sensitive data with real-time DLP – preventing confidential information from being shared with AI tools where it shouldn’t be.
• Control AI agents and high-risk actions – so you can set guardrails around what AI tools and agents are allowed to do.

The goal is to help companies reimagine how they secure AI usage: keeping every interaction safe while still allowing employees to benefit from AI without unnecessary friction.

Workforce AI Security focuses on making AI usage visible and manageable across the organization.

It supports you in three main ways:

• Discover shadow AI: It identifies AI tools and services that employees use outside official channels, giving you a clear picture of unmanaged or unsanctioned AI activity.
• Govern usage: Once you know what’s being used, you can apply policies that define who can use which AI tools, for what purposes, and under what conditions.
• Enforce policies where work happens: Security and usage rules are applied directly in the workflows and tools employees already use, so governance becomes part of everyday work rather than a separate process.

This approach helps organizations rethink AI governance: you gain control and compliance without forcing employees to abandon the AI tools that help them stay productive.

Workforce AI Security is built to balance protection and productivity.

On the protection side, it provides:

• Real-time data loss prevention (DLP) that monitors AI interactions as they happen and blocks or flags attempts to share sensitive data.
• Controls for AI agents and high-risk actions, so you can limit what AI tools are allowed to access or execute.

On the productivity side, it:

• Works in the background, applying policies automatically so employees can keep using AI tools with minimal disruption.
• Centralizes visibility, so security teams can quickly adjust rules based on real usage patterns instead of guessing.

The result is a reimagined approach to AI security: employees can continue to use AI to get work done, while the organization maintains strong safeguards around sensitive data and high-risk activities.