Extend DLP and labelling so confidential data never ends up in public AI models.
AI data protection extends existing controls to generative AI. Endpoint DLP and browser protection stop users pasting or uploading sensitive data into public AI tools, using Microsoft Purview or Symantec DLP policies built on sensitivity labels.
Microsoft 365 Copilot surfaces whatever a user can access, so oversharing becomes visible overnight. SecureBeans runs a Copilot readiness assessment, fixes permissions and uses DSPM for AI in Microsoft Purview to monitor prompts and responses for sensitive data - DLP for AI that keeps pace with adoption.
Apply AI data protection controls: use endpoint DLP or browser-based controls from Microsoft Purview or Symantec DLP to detect sensitive content and block or warn when it is pasted or uploaded to unsanctioned AI sites.
Copilot respects existing permissions and sensitivity labels. It is safe when oversharing is fixed and labels are applied first; otherwise it can surface data users should not see.
Data security posture management for AI, in Microsoft Purview, shows how sensitive data is used with Copilot and other AI apps and applies policies to protect it.
Book a 30-minute security architecture review with our engineers.