Discover and Accurately Classify Your High-Risk Data Across Complex Multi-Cloud Environments

Data Democratization is a Business Driver. But Sensitive Data Gets Lost, Creating New Dimensions of Risk.

Data sprawl carries a host of new challenges and risks for your security teams:

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Larger data attack surface making your organization more vulnerable to threats

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Hidden shadow data increases cloud data storage costs

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Inability to identify and prioritize which sensitive data needs protection

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Manual efforts to catalog sensitive data are prone to errors and time wastage

Proactively Manage Your Data Risks: Visualize, Organize and Monitor all Your Data with Sentra’s Data Security Posture Management (DSPM) 

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Gain visibility, and understand your high risk data in minutes

Agentless discovery and novel scanning technology covers your entire cloud estate, spanning all cloud-native and unmanaged databases, data warehouses, data lakes, data pipelines, and metadata catalogs across AWS, Azure, GCP and Snowflake.

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Accurately classify and organize any data type

Leverage AI to build an organized catalog of your sensitive data assets. All sensitive data is detected, structured and unstructured, such as PII, PCI, PHI, developer secrets, and more! Large Language Models (LLMs) enable your security teams to more accurately classify and understand sensitive unstructured data with a clearer understanding of the business context. 

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Continuously monitor and uncover shadow data

Ongoing and automated monitoring, continuously gives you a clear view and precise location of all your hidden shadow data sets, empowering your security teams to evaluate and remediate effectively.

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