Visibility into AI use
Understand which AI tools are used in connected employee environments. Give security teams a clearer view of usage, ownership and policy gaps.
Platform / Shadow AI
Bring employee AI use into view and apply company policies where work happens. Start with browser AI, then extend protection to your own applications.
The challenge
A colleague pastes a contract into a chatbot. A team starts using an AI writing tool. A browser copilot becomes part of a daily workflow. Useful tools can introduce sensitive data exposure long before they appear in an IT inventory.
Discuss your environmentYour controls
Understand which AI tools are used in connected employee environments. Give security teams a clearer view of usage, ownership and policy gaps.
Check prompts for sensitive company information and apply rules before content is sent to supported AI services.
Define the boundaries for AI use across teams. Permit approved workflows and intervene when activity conflicts with company policy.
Keep records of detected activity and policy decisions so your team can investigate incidents and improve controls.
An example in practice
Illustrative workflow. Controls depend on your configuration.
An employee asks an AI assistant to summarize a client agreement containing confidential information.
The configured data policy checks the prompt and blocks sensitive content before submission.
The employee gets feedback, and the security team has a policy event to review.
Deployment
Map the tools, teams and sensitive data you need to cover.
Deploy browser protection to an agreed employee group and configure policies.
Review activity, tune controls and expand coverage with your team.
Coverage depends on deployed browser protection, supported AI services and your configured policies. We map these with you before rollout.
Let’s talk AI security
Start with the AI tools your people use. Build a plan for the systems you run.