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Sensitive Data Governance
Solutions for balancing data democratization with regulatory compliance. Sweeping data privacy regulations are forcing businesses to understand and simplify the architecture of their data and applications. For organizations needing to comply with these regulations, the Quest Sensitive Data Governance solutions promote knowledge of the data ecosystem and provide the mechanisms needed to protect sensitive data while still enabling data democratization.
Mitigating the risk associated with sensitive data across the enterprise
How Should CIOs Balance The Need For Data Insights With Data Privacy?
Empower your sensitive data governance
Define sensitive data
Absence of data intelligence across the organization creates the potential for sensitive data exposure. Quest tools for defining sensitive data combat this lack of visibility by building data literacy and relating data assets to business processes and physical locations across the enterprise.
- Establish enterprise architecture and business process models coupled with a metadata repository
- Harvest and curate metadata, making it easier for stakeholders to locate sensitive data
- Apply metadata-informed tags to data models that represent physical data stores.
Discover sensitive data
For organizations that don’t know where sensitive data resides in their ecosystem, Quest’s data governance solution provides the means to scan databases for metadata that indicates the presence of sensitive data.
- Automatically scan schema columns and data based on predefined rules and metadata tagging
- Report on where sensitive data exists
- Alert users to take defensive measures
Defend sensitive data
Failure to protect sensitive data throughout the enterprise can have serious consequences – from high-profile data breaches to significant fines. Quest tools make it possible to mask, encrypt and redact Oracle and SQL Server data; harden endpoints against intruders; prevent unauthorized access to backups; and create compliant audit trails.
- Mask sensitive production data in Oracle and SQL Server prior to provisioning
- Discover, harden and manage all endpoints
- Ensure data backups are secure and accompanied by good retention policies