Automatically discover and classify sensitive data at scale. Guide people towards proper use of data in their natural workflow.
Build a privacy-aware data culture for regulatory compliance. Balance the visibility of sensitive data with accountability by linking data to related and well-defined policies and applying role-based access to sensitive data where necessary.
Policies are better understood when they are transparent. Create, organize, and manage policies within the data catalog to make it actionable. Give context to policies by setting rules and ownership, and link to associated data.
Operationalize policies by discovering relevant data pursuant to the policies at play. Apply policies at scale with Catalog Sets and Workflow Automation, or use granular filtering to pinpoint exact data subject to policies.
Implement policies by leveraging varying degrees of protection. Mask sensitive data from view for certain group types, or completely lock access to catalog pages based on role. Support bi-directional enforcement of policies at the database level with some sources.
Empower data consumers to use data compliantly with guidance in their natural workflow. As people view data, TrustFlags signal what data is subject to which policies, such as GDPR and CCPA. TrustCheck highlights associated policies in connected applications, preventing data misuse.
Sebastian Kaus
Head of Data Governance, Vattenfall
Ilya Gilin
Leader of Data and AI/ML Governance, Interac
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