Protect Sensitive Data in Data Warehouses and Data Lakes
Gain visibility into sensitive data exposures within Snowflake, Databricks, BigQuery, Amazon Redshift, MongoDB Atlas and other cloud data warehouses and data lakes. Initiate remediation for exposed data.
Sentra DSPM and DDR solutions are radically easy to deploy and safeguard your data wherever it travels, in real-time.
Extract and Analyze Data Securely
Organizations leveraging cloud data warehouses wish to extract maximum value from the data while ensuring robust security. But the rapid movement of data for analysis often creates unmanaged shadow data stores in its wake. Sentra can help. Sentra classifies and spots sensitive data within all leading data warehouses, while alerting you to insecure storage and transformations of data.
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Inventory data and reduce attack surface
Ensure an up-to-date data catalog across your data warehouses – regardless of cloud provider. Identify shadow and unprotected data to reduce the attack surface.
Automate native data protections
Tag sensitive data and automatically invoke data masking, encryption and secure data sharing, leveraging these unique data warehouse built-in functionalities.
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Shut down excessive access
Sentra monitors sharing permissions to enforce policies, ensure least privilege access and identify hygiene issues that can expose sensitive data.
Detect risky movement from data stores
Sentra detects sensitive data exposures within and movement between or from Snowflake, Databricks, BigQuery, or other warehouses and multi-clouds.
Detect threats in real time
Sentra DDR alerts on data exfiltration, weakening of data security posture and other suspicious activities in real time.
Cloud-Native Security Tailored for Warehouses
Unlike traditional DLP solutions built for on-premise environments, Sentra’s platform excels in the dynamic realm of cloud data warehouses.
Sentra Advantages
Sentra Architecture
