
Data Protection
Sentra Data Security Platform
Agentless DSPM that classifies and governs sensitive data across cloud, SaaS, and on-prem.
Sentra Data Security Platform Overview
What it does
The Sentra Data Security Platform is a cloud-native Data Security Posture Management (DSPM) system that discovers, classifies, and governs sensitive data across cloud, SaaS, data warehouse, and on-premises environments. Its distinguishing mechanism is agentless, in-place scanning: data is analyzed where it lives and is never copied outside the customer environment, so only metadata and findings leave. The platform unifies DSPM, Data Detection and Response (DDR), and Data Access Governance (DAG) in a single system.
How it works
The platform connects to cloud accounts, SaaS applications, and on-premises stores, then scans data at rest in place, reducing petabyte-scale estates to the few hundred thousand assets that genuinely require inspection. Automated classification labels structured and unstructured data by sensitivity, and the platform maps effective permissions, data flow, and duplication to score the highest-risk stores. Its Data Detection and Response layer monitors access for suspicious activity and configuration changes, routing findings to owning teams through more than 20 prebuilt workflow integrations for remediation. Classification signals also feed existing data loss prevention, identity, and security operations tooling.
Credentials and traction
ISO/IEC 27001:2022 certified and audited annually against SOC 2 Type II criteria. Sentra was named a 2025 Gartner Peer Insights Customers' Choice for Data Security Posture Management, with a 4.9 average customer rating. Named customers include SoFi, Global-e, and Valenz Health, spanning financial services, e-commerce, and healthcare. The platform targets enterprises securing large multi-cloud and on-premises data estates and preparing that data for enterprise AI adoption.
Key Capabilities
mapped to solution categoriesDiscovers and classifies sensitive data (PII, PHI, PCI data, IP) across cloud object storage, relational and NoSQL databases, data lakes, and SaaS platforms using content inspection and ML classification.
Identifies sensitive data in locations outside authorized data stores, development databases containing production PII, unprotected S3 prefixes, forgotten data lake partitions.
Maps effective permissions to sensitive data stores across cloud IAM, database roles, and SaaS permissions, identifies over-privileged access and dormant entitlements.
Continuously monitors data access patterns and flags anomalous or unauthorized access in real time.
Assigns risk scores to discovered data based on sensitivity, access exposure, and configuration, then continuously monitors access patterns and policy compliance to surface the highest-risk data stores for action.
Automatically remediates discovered violations, revoking over-permissioned access, moving misplaced data to compliant storage, encrypting unprotected sensitive files.
Connects to cloud object storage, data warehouses, on-premises databases, and SaaS platforms for discovery and classification, with coverage depth varying by product.
Detects how sensitive data moves and transforms through AI pipelines to prevent exposure.
Identifies data flowing into large language models and enforces data access governance and entitlement for generative AI use.
Traces how sensitive data moves between storage locations, services, and users, surfaces unexpected cross-region transfers, shadow copies, and retention policy violations.
Compliance
certificationsIntegrations
compatible toolsImplementation & support
Info last updated on August 1, 2026
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