Sentra delivers unmatched AI‑data governance and continuous compliance at speed and scale previously unimagined.
“Sentra gave us AI visibility & eliminated audit surprises.” –SoFi
Sentra Wins Fortune 500 Customer Bake-Off
Scalability
Accuracy
Operational Cost Efficiency
A Top Emerging DSPM Vendor
Scalability
A Top Emerging DSPM Vendor
Accuracy
A Top Emerging DSPM Vendor
Operational Cost Efficiency
A Top Emerging DSPM Vendor
Drive AI Data Readiness
Eliminate risk from AI copilots and model adoption
Continuously discover and classify sensitive data exposures in copilot knowledge bases
Inventory AI assistants and agents and map AI-accessible datasets to minimize exposures
Auto‑apply labels to sensitive documents, emails, records holding regulated data
Control copilot access to sensitive data and institute least privilege
Minimize sensitive data exposures within Microsoft 365, OneDrive, SharePoint, Office Online, Teams and more.
Discover AI copilots and agents, their knowledge bases, and the sensitive data paths they can traverse.
VP, Security Architecture, SoFi
AI-Powered Continuous Compliance
Data intelligence to discover and eliminate data privacy risks
Create a living inventory and accurately classify all regulated data
Map regulated data to 40+ Compliance Frameworks with audit-ready evidence
Identify out-of-compliance regulated data and alert on violations and threats
Manage access, over privileged accounts, and toxic combinations for regulated data
Ensure compliance of regulated (PII, PCI, PHI) data
Get a complete, context‑rich inventory of regulated data.
Data is never removed from your environment — so it remains compliant.
Detect risky data movement and assess risk across boundaries.
Map findings to 20+ compliance frameworks with exportable, audit-ready evidence.
Fix Your DLP
Supercharge your DLP
with Sentra’s AI-Powered Data Intelligence
Inventory and monitor sensitive data everywhere for complete visibility to eliminate DLP blind spots
Empower data-driven DLP policies with precise data intelligence that reflects how your business actually works
Cut operational cost by focusing efforts on the risks that matter most
No rip and replace — plugs into your existing tools
Apply MPIP labels to activate DLP precisely
Establish consistent, enterprise-scalable data classification for DLP within cloud, SaaS, Endpoint, SSE/CASB, AI and On-Prem
Automate workflows and DLP actions (label sensitive data to activate DLP precisely)
AI-ready for safe AI usage — govern what data AI can access and apply the right labels for DLP enforcement
AI-Powered Classification
Full and automatic discovery
on IaaS, PaaS, SaaS and on-premise
No more insecure shadow data, unknown data, manual connections, blind spots, and disparate catalogs
Data never leaves your environment so it remains secure and compliant
Sentra Amplifies Your Data Security Effectiveness
Risk and Threat Mitigation
Capture data context to bolster sensitivity analysis and optimize CNAPP/CSPM/IR processes
Data Loss Prevention
Automatically tag sensitive data to empower DLP to stop exfiltration
Data Access Governance
Map identities to permissions and enforce least privilege data access
Data Governance
Enrich catalog integrity with complete inventory including unknown data
Gartner Peer Insights
Highest Recommended DSPM Platform
Customers Love Us
How SoFi Raises the Bar on
Data Security With Sentra
Global-e's Path to Stronger
Data Security with Sentra
How Global Travel Platform
Secured Petabytes at Scale
What Vendors Don’t Want You to Test
Your goal in running a data security/DSPM POV is to evaluate all important performance and cost parameters so you can make the best decision and avoid unpleasant surprises. Many vendors, on the other hand, look for a ‘quick win’ and will often suggest shortcuts like using a limited test data set and copying your data to their environment. Make sure your POV is without compromise.
Classify data in customer environment
Test coverage of different file formats
Test customization of policies and classification
Test real time monitoring (DDR)
Test scale and cloud cost efficiency
Copy data to the vendor for the quick win
Limit features and capabilities
Limit size of scanned data
Restrict integrations to avoid “complications”
Limit the use of API
