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for ALL cloud-native and non-native data systems and apps on GCP
Sensitive data understanding for Google Cloud across multicloud and self managed systems.
Create a distributed mesh of visibility & security around multicloud data.
PrivacyOps Platform with robotic automation makes privacy simple.
Achieve Broad Compliance with Global Data Regulations.
across Multicloud and self managed systems.
Globally Hyper Scaling Data Analysis
Types of Data Systems Covered
Much more than traditional discovery or DLP
Automatically Discover Data Assets, managed and unmanaged,
across your entire multi-cloud footprint.
Automatically Discover, Classify, and Label Sensitive
Data across multicloud, at petabyte scale.
Automatically build sensitive data catalogs
for structured and unstructured data.
Automatically build a graph between an individual and her personal data. It’s the foundation for automatically fulfilling the personal data right obligations.
Automatically discover and monitor security
posture of data systems across multicloud.
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 Data Store and Sensitive Data for external and internal risks. Automatic Risk Scoring and Risk Attribution and Visualization.
Policy based alerts and remediations to protect data from external and internal threats.
Policy based access governance for selected 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.