Toad for Oracle – Sensitive Data Protection
Find and control sensitive data across all your Oracle databases.
GDPR compliance is daunting when you have a multitude of applications and databases. Manually trawling thousands of tables, using column names to locate sensitive data, is tedious and inefficient. And vendor tools that search metadata can be slow, ineffective and risky. What if you could define and find sensitive data across all your Oracle databases automatically? This would save time while dramatically reducing risk.
Toad® for Oracle – Sensitive Data Protection performs data sampling across all your tables, using a range of expressions and customizable rules to define and find sensitive data. When sensitive data is identified, you can apply Oracle’s redaction and encryption techniques to strengthen data protection. Reduce risk and achieve GDPR compliance with Toad for Oracle – Sensitive Data Protection.
Quickly discover sensitive data across all your Oracle databases for GDPR compliance and other regulations.
Automates discovery, streamlines reporting and automatically notifies developers when they’re referencing sensitive data.
Integrates into many Toad features, such as Editor, VOEs and DB Health Check.
Provides configurable rules to define what sensitive data means to you. (Included in Toad® for Oracle Professional Edition and higher.)
Sensitive Data Awareness
Flags sensitive data use in object and code editors automatically. (Included in Toad for Oracle Professional Edition and higher.)
Sensitive Data Search
Searches across Oracle database schemas based on metadata and data polling.
Sensitive Data Protection
Helps you easily apply appropriate data protection measures using native Oracle features for redaction, encryption, and audit to help achieve GDPR compliance.
Enables DBAs and Data Protection Officers to apply protective measures in-situ.
Provides reports on one or multiple schemas. Export results as part of data privacy compliance of sensitive data.
Automates search and reporting functions to identify and locate data on which no policy has yet been applied.