Sentra introduced Shadow AI DLP, a new capability in its AI Data Readiness Platform that is designed to help enterprises discover AI application use and stop sensitive data from being shared with generative AI tools.
The company said the feature combines Shadow AI Discovery with AI Browser DLP, giving security and governance teams visibility into employee use of AI assistants, copilots and browser-based tools while enforcing data-aware controls before information leaves the browser.
AI Adoption Creates A Browser Data Problem
Employees are increasingly using AI tools to draft content, write code, summarize documents and analyze business information. In practice, that can mean customer records, source code, financial information, regulated data and internal documents are pasted or uploaded into tools outside normal enterprise controls.
Sentra said traditional DLP, secure web gateway and CASB tools were built around email, file transfers, network traffic and known SaaS applications. Browser-based AI interactions create a different data path that many older controls were not designed to inspect.
Policy Moves Closer To The User
Shadow AI DLP classifies content locally in the browser and applies policy based on the application and data class. Organizations can allow, block, log, require justification or ask for verification depending on sensitivity and policy.
The capability also creates an audit trail covering the user, AI application, data classification and enforcement action. Sentra said original content does not need to be sent to Sentra or routed through a new proxy.
Complementing Existing DLP Investments
Sentra positioned the feature as an extension of its broader data security and AI readiness strategy, rather than a wholesale replacement for existing DLP deployments. The company said its data intelligence can enrich endpoint enforcement and partner DLP platforms with updated classifications and business context.
That approach reflects how many enterprises are likely to manage AI governance: by layering AI-specific visibility and controls onto security programs that already include DLP, endpoint, cloud and SaaS controls.
The Bottom Line
Sentra is targeting one of the most immediate governance problems created by enterprise AI adoption: employees using browser-based AI tools faster than security teams can map the data exposure. The value will depend on whether organizations can enforce policy without turning AI use into another productivity bottleneck.