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Managed browser control

Browser AI Governance

Make employee AI usage visible, enforceable, and auditable without changing the target apps.

Managed browser rolloutLocal DLP scanningWarn, block, and redact flowsZero app code changes
Designed for enterprise rollout, not lab demos.
Maps product behavior to policy, evidence, and operator control.
Keeps the control path readable for security, platform, and compliance teams.

What it does

Browser AI Governance extends UMAI controls to employee interactions with browser-based AI tools.

  • Monitor usage across services such as ChatGPT, Gemini, and Claude.
  • Evaluate outbound content locally before sensitive text leaves the browser.
  • Apply actions including warn, block, redact, or require justification.

Why it matters

Shadow AI usage grows faster than most enterprise policy programs can react.

  • Create visibility into employee AI behavior without banning productive tools outright.
  • Reduce leakage of confidential, regulated, or customer data through consumer AI interfaces.
  • Give security and compliance teams a managed rollout path instead of ad hoc controls.

Key capabilities

The browser layer focuses on practical enterprise enforcement with low rollout friction.

  • Local inspection before transmission for stronger privacy handling.
  • Per-site policy actions and operator review paths.
  • Managed deployment through enterprise browser and endpoint tooling.
  • Unified event records in the same audit system as runtime guardrails.

Example enterprise use cases

Browser governance is strongest where employee AI usage crosses sensitive operational boundaries.

  • Claims teams using AI drafting tools with customer data exposure limits.
  • Legal and HR teams that need justification or redaction workflows before submission.
  • Engineering organizations that need visibility into code or design data sent to public AI services.

Related compliance or governance value

Employee AI controls matter when governance scope extends beyond first-party applications.

  • Support internal policy controls for acceptable use and restricted data handling.
  • Generate evidence for operator review, incident response, and audit readiness.
  • Align user-facing interventions with EU AI Act and privacy program expectations.

Related integrations

Rollout and reporting work best when browser control fits existing enterprise management systems.

  • Chrome enterprise management and managed endpoint environments.
  • Centralized alerting and SIEM destinations.
  • UMAI audit and policy administration workflows.

CTA section

Move from policy intent to governed rollout.

Start by governing a small set of browser surfaces used by high-sensitivity teams.

Select the browser AI services to monitor or enforce first.
Define warn, redact, block, and justification rules by data class.
Roll out through managed browsers and review early evidence with policy owners.