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for all cloud native and non-native data systems and applications on Azure.
Sensitive Data understanding for dark and native data systems in Azure
Create a distributed mesh of visibility & security around data in Azure
PrivacyOps with Robotic automation makes privacy simple
Achieve broad compliance with global data regulations
Globally Hyper Scaling Data Analysis
Types of Data
Much more than traditional discovery or DLP
Automatically discover all your dark and native data assets across Azure footprint across accounts, regions and geographics
Discover security misconfigurations & risks associated with Azure data systems & auto remediate misconfigurations
Automatically discover, classify, and label hundreds of sensitive data elements in structured and unstructured Azure data systems at petabyte scale
Build sensitive data catalogs for structured and unstructured data & easily search for specific sensitive data elements your Azure footprint
Automatically build a graph between an individual and their personal data. It’s the foundation for automatically fulfilling the data subject right obligations.
Identify and prioritize external and internal risks to data, using a risk scoring and risk attribution system.
Common console to analyze data security issues across multicloud & SaaS
Monitor security risks & enable policy-based remediation
Attain broad security compliance with continuous reporting
Monitor Azure data systems and sensitive data for external and internal risks. Provide a risk score and risk attribution and visualization.
Remediate security misconfigurations as well as enable data protection controls to protect sensitive data from external and internal threats.
Policy based access governance to identify and remediate over privileged access to sensitive data in Azure data systems
Investigate data security issues and take remediation action.
Automate the incident response process by gathering incident details, identifying the scope and optimizing notifications to comply with global privacy regulations.
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