Sentra, the AI data readiness platform that secures sensitive data at petabyte scale, announced Shadow AI DLP, a new capability within the Sentra Platform for AI Data Readiness that helps organizations securely adopt AI while preventing sensitive data from being shared with generative AI applications.
According to the company, Sentra Shadow AI DLP gives security and governance teams visibility into AI application usage and enforces data-aware controls before sensitive content leaves the browser.
The capability combines Shadow AI Discovery and AI Browser DLP, allowing organizations to understand which AI applications employees are using, assess the risks those applications introduce, and prevent sensitive data from being shared with approved or unapproved AI tools.
"As AI becomes embedded in everyday work, organizations need to govern not just which AI applications employees use, but what data they're sharing with them," said Yair Cohen, co-founder and chief product officer at Sentra. "Traditional DLP solutions make decisions based on what they see at the point of enforcement. Shadow AI DLP extends the intelligence of our AI Data Readiness Platform into the browser, applying business context to every policy decision. The result is more accurate detection, fewer false positives and the confidence to adopt AI without putting sensitive data at risk."
Organizations face a difficult choice: block AI tools and limit productivity or allow their use without understanding what sensitive information employees are sharing, the company said. Shadow AI DLP eliminates that tradeoff by combining continuous data intelligence with real-time browser enforcement, enabling organizations to embrace AI while protecting sensitive data.
With Sentra Shadow AI DLP, organizations can:
- Discover AI application usage across sanctioned and unsanctioned tools
- Classify content locally in the browser using the same data classes Sentra already applies across cloud, SaaS and on-premises environments
- Apply policy by application and data class, allowing different controls for approved enterprise AI tools and unsanctioned consumer applications
- Block, allow, log, require justification or prompt for verification based on data sensitivity and policy
- Create an audit trail of AI-related data movement, including user, application, data classification and enforcement action
- Prevent sensitive data loss without sending original content to Sentra or routing browser traffic through a new proxy
Rather than replacing existing DLP investments, Shadow AI DLP extends Sentra's AI Data Readiness Platform to secure AI interactions while the platform's data intelligence continues to enhance both Sentra's own protections and partner DLP platforms, the company said.
For more information about this news, visit www.sentra.io.