Use Case
Cyber Resiliency - Improving Data Security Posture
You can't strengthen what you can't see.
In multi-cloud environments, limited visibility and inconsistent access controls increase the blast radius of data-centric threats:
Lack of real-time visibility hinders incident response
Automation gaps slow containment and recovery
Inaccurate tagging and labeling make it difficult to prioritize high-risk data
Data resilience depends on accurate, continuous insight across your complex hybrid infrastructure.
Identify and classify high-value data with >95% accuracy
Detect unmasked or misconfigured sensitive data in minutes
Alert on risky data movements and accesses across cloud environments
Apply data controls natively—without disrupting pipelines
From blind spots to real-time resilience
Sentra helps security and cloud teams reduce exposure, respond faster, and protect business-critical data across multi-cloud and hybrid environments.
Business-critical data awareness—at cloud speed
Sentra classifies sensitive data with >95% accuracy, automatically tags and labels it, and maps access to uncover risks like unmasked PII, overshared storage, and excessive permissions.
Risk visibility that drives faster, more informed decisions
Sentra gives security and cloud teams a clear view of data risk by continuously monitoring activity and posture changes. It correlates sensitivity, context, access patterns, and user behavior to surface the most critical threats—before they turn into incidents.
Native enforcement for uninterrupted protection
Sentra supports dynamic data masking via API, row-level security, and tagging directly in platforms like Snowflake and BigQuery—enforcing data controls without breaking pipelines or slowing teams.
Resilience through real-time risk response
Sentra helps detect data exfiltration, insider misuse, and misconfigurations before they cause disruption—so security teams can contain threats without halting cloud operations.
