This seminar provides a detailed approach to starting an organization’s data security program and how to improve an existing program through an iterative increasing maturity model. The seminar will begin with a discussion of data classification and why it’s such a crucial starting point for a robust and complete data protection strategy. The policy, staff, and technology requirements for a complete data loss prevention (DLP) program will be presented, focusing on common pitfalls so they can be avoided. The data security impact of cloud computing will be discussed, as this and other drivers will require continual adaptation by information security teams. The revolutionary changes coming to auditing with the advent of advanced and powerful technologies such as data analytics, robotic process automation (RPA), and artificial intelligence (AI) will be discussed.