About
Sentra is a cloud-native Data Security Posture Management (DSPM) platform designed to help enterprises secure petabytes of fast-moving data across multi-cloud and on-premises environments. Using AI-powered data intelligence, Sentra continuously discovers and classifies sensitive data—including PII, PCI, and PHI—mapping it to over 40 compliance frameworks with audit-ready evidence. Sentra excels in AI data governance, allowing organizations to safely adopt Microsoft 365 Copilot and other AI assistants by inventorying AI agents, mapping their accessible datasets, and enforcing least-privilege access. The platform automatically applies sensitivity labels for DLP, encryption, and retention policies across Microsoft 365, OneDrive, SharePoint, Teams, and more. The platform's scalability is demonstrated by its ability to scan 9 petabytes in under 72 hours with less than 1% false positive/negative rates—at roughly $40,000/year per 100 PB, compared to $400,000+ for competing solutions. Sentra supports AWS, Azure, GCP, M365, data warehouses, and on-premises infrastructure. Key use cases include unstructured data classification, data privacy and compliance, data loss prevention, sensitive data exposure prevention, data sprawl reduction, and enabling responsible AI adoption. Sentra is trusted by Fortune 500 companies across financial services, healthcare, and retail sectors.
Key Features
- Continuous Cloud Data Discovery & Classification: Automatically scans and classifies sensitive data (PII, PCI, PHI) across multi-cloud and on-premises environments with less than 1% false positive/negative rates.
- AI & Copilot Data Governance: Inventories AI agents and copilots, maps their accessible datasets, and enforces least-privilege access to prevent sensitive data exposure in AI workflows.
- Compliance Automation: Maps regulated data to 40+ compliance frameworks, generating audit-ready evidence and alerting on violations for regulations like GDPR, HIPAA, and PCI-DSS.
- AI-Powered Data Loss Prevention: Supercharges DLP by automatically applying sensitivity labels for encryption, retention, and data loss prevention policies across Microsoft 365 and cloud platforms.
- Petabyte-Scale Efficiency: Scans up to 9 PB in under 72 hours at approximately $40,000/year per 100 PB, delivering enterprise-grade data security at a fraction of competitor costs.
Use Cases
- Discovering and classifying sensitive data across multi-cloud environments to establish a comprehensive data inventory for enterprise security teams.
- Governing AI copilot and agent data access to prevent sensitive data exposure before and after Microsoft 365 Copilot or similar AI tool rollouts.
- Automating regulatory compliance mapping for PII, PCI, and PHI data across 40+ frameworks with audit-ready reporting for financial services and healthcare organizations.
- Reducing data sprawl and shadow data by identifying and cleaning up redundant or over-exposed sensitive data stores to lower cloud storage costs.
- Supercharging existing DLP strategies with AI-powered data intelligence to automatically apply sensitivity labels and enforce access controls at petabyte scale.
Pros
- Unmatched Scalability: Proven ability to scan 9+ petabytes of cloud data in under 72 hours, making it viable for the largest enterprise data environments.
- High Accuracy Classification: Less than 1% false positive/negative rate ensures security teams aren't overwhelmed by noise, enabling focused and effective remediation.
- Broad Platform Coverage: Supports AWS, Azure, GCP, Microsoft 365, data warehouses, and on-premises infrastructure from a single unified platform.
- Cost Efficient at Scale: Operational costs are ~10x lower than top competitors when scanning large data volumes, delivering strong ROI for enterprise security budgets.
Cons
- Enterprise-Only Pricing: Sentra is designed and priced for large enterprises, making it inaccessible or overpowered for small and mid-sized businesses.
- Implementation Complexity: Deploying and tuning the platform across hybrid multi-cloud environments can require significant time and specialized security expertise.
- Limited Public Pricing Transparency: Pricing details are not publicly listed, requiring direct engagement with the sales team for cost estimates.
Frequently Asked Questions
What is Data Security Posture Management (DSPM)?
DSPM is a security approach that continuously discovers, classifies, and monitors sensitive data across cloud and on-premises environments to identify risks, enforce compliance, and prevent unauthorized access or data loss.
How does Sentra classify sensitive data?
Sentra uses AI-powered contextual data classification to automatically identify and categorize sensitive data such as PII, PCI, and PHI across structured and unstructured data stores without moving data out of your environment.
What cloud platforms does Sentra support?
Sentra supports all major cloud providers including AWS, Microsoft Azure, and Google Cloud Platform, as well as Microsoft 365 (OneDrive, SharePoint, Teams), data warehouses, and on-premises infrastructure.
How does Sentra help with Microsoft 365 Copilot adoption?
Sentra discovers AI copilots and agents within M365, maps the sensitive data they can access, fixes over-permissioned users and AI agents, and automatically applies labels for DLP and encryption—ensuring safe and compliant Copilot rollouts.
Which compliance frameworks does Sentra support?
Sentra maps regulated data to over 40 compliance frameworks, including GDPR, HIPAA, PCI-DSS, and others, providing audit-ready evidence and continuous monitoring for violations.
