Quest Forum Digital Event 2020

Your databases may contain sensitive personal data like Social Security numbers, credit card numbers, addresses, date of births, and salary information. Understanding in what tables and columns sensitive data resides is critical in protecting the data and ensure compliance with regulations like GDPR, PCI, and the new California Consumer Privacy Act (CCPA). However, sensitive data is like a weed and can spread quickly if not properly managed. The challenge is how to effectively and continuously find sensitive data, especially in extremely large databases and data warehouses.  This session will discuss methodologies and tools to find sensitive data such as by searching column names, crawling the database table by table, and performing data qualification to eliminate false positives.  Other locations where sensitive data might reside such as trace files, dynamic views (e.g., V$SQL_BIND_DATA), and materialized views will be reviewed.