Most Complete Visibility including AI models
Most Accurate Classification
Most Scalable Performance
Most Operationally Cost Efficient
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
Discover and automatically classify your sensitive data (PII, PCI, PHI)
>95% Classification Accuracy across structured and unstructured data
Domain optimized to categorize department, geography, industry, ownership, sensitivity automatically
Zachary Schulze, Sr. Staff Application Security Engineer, SoFi
Determine and prioritize exposure risk for all file types
Improve posture — enforce data security and compliance policies
Reduce data attack surfaces (ROT, shadow, AI)
Activate controls via integrations with IAM and DLP systems (revoke access, de-identify data, etc.)
Manage access issues such as excessive permissions, unauthorized access, support least privilege access control
Flag high-risk identities and proactively prevent access control risks
Respond in real-time with actions including revoke access, enforce policy, initiate workflow, mitigate behavior
Identify suspicious transfers or movement of sensitive data into unauthorized environments
Connect every data event to human, service, or machine identity to reveal anomalous access
Capture data context to bolster sensitivity analysis and optimize CNAPP/CSPM/IR processes
Automatically tag sensitive data to empower DLP to stop exfiltration
Map identities to permissions and enforce least privilege data access
Enrich catalog integrity with complete inventory including unknown data
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