AI-Powered Classification Accuracy Using Rich Context
Real-Time Risk Reduction
Sentra
Instant Deployment, Instant Insights
Agentless and API-based, Sentra scans data in-place without moving or copying—delivering results in days, not months.
Built for Scale, Without the Cost
Sentra is highly efficient, scanning with <3% false positives while using minimal compute—ideal for petabyte-scale environments.
Contextual Intelligence That Learns
Uses AI/ML and composite classifiers with rich context across identity, access, and environment—finding toxic data combinations and enforcing labels like M365 MIP.
Intelligent Risk Scoring and Data Threat Detection
Prioritizes risk with real-time DDR, anomaly monitoring, and access/movement mapping to prevent breach, GenAI data loss, and toxic sprawl.
BigID
Requires connector setup and moves data to its SaaS platform, complicating deployment and slowing time to value.
Relies on brute-force sampling and heavy compute, making scanning slow, costly, and difficult to scale.
Classifiers are often ineffective (only ~25 perform well), with high false negatives. Limited context and no differentiation between structured and unstructured data.
No DDR capabilities, and cannot track access or data movement effectively.
What Customers Are Saying About Sentra
See How Sentra Compares to BigID in This Gartner Report
When sensitive data in our cloud data stores is duplicated or moved by engineers, we can now understand if that causes any security or compliance issues
The POC was incredible and going forward we feel this is crucial and somewhat irreplaceable for us
Agentless data classification from Sentra has been a huge help, now we can auto-classify sensitive data and prevent this data from being extracted