Andrew Bales is an analyst within the Cybersecurity practice at Gartner. Mr. Bales' area of research and expertise is Data Security, including data security for AI, as Data Loss Prevention (DLP) vendors, DLP best practices and DLP strategy, Data Classification vendors, best practices and strategies, along with Data Masking vendors and best practices.
Prior to joining Gartner, Mr. Bales worked as an DLP Analyst at a managed security services provider, working on development of DLP programs, DLP policy development/compliance, and DLP incident management and governance.
InteliSecure, Data Loss Prevention Analyst, 3 years
Data Security
B.S. Engineering Physics, Colorado School of Mines
Data Loss Prevention
Data Security for AI
Data Security Posture Management
Data Classification
Data Masking