Unprotected sensitive data in your SQL Server databases is a significant risk. Sensitive data in the wrong hands can harm your customers, organization and career. Knowing all of your data needs is challenging for current databases and future development, but it is imperative to protect sensitive data. Join us for this session to learn how to uncover the sensitive data lurking in your SQL Server databases.
In this session you will learn how to:
- Define sensitive data for your environment, industry, etc.
- Discover sensitive data in your SQL Server database, tables, columns, stored procedures, etc.
- Interrogate your data with pattern matching with common sensitive data such as social security numbers
- Examine data in free form text fields with pattern matching
- Inspect text files for sensitive data used for data import and exports
Don’t miss this demo centric session and also see how you can take your data discovery to the next level with a solution from GreenSQL.
Tim Smith began working with technology in high school, helping his 1A Texas high school place and win in the TCEA competition. He continued his journey with a heavy interest in data, especially predicting future outcomes with the stock market, global resource use, and individual success markers. He works as a SQL Server database administrator and developer at Amherst Securities and as a Senior MongoDB database administrator and developer at RS Consulting Partners. He also teaches Mastering ETL Development Through Automation on Udemy.
David Maman is a recognized international expert in computer security advising companies on threat management, real-time network protection, advanced network design, and security architecture. In addition to his bachelor’s and master’s degrees in computer science, David confesses to being heavily self-taught—a quality that has served him well in this highly dynamic industry.