As a continuation of the session presented at RSA 2016, this session will share insights into context-based models as the foundation for accurate data sensitivity classification. The session will focus on the importance of developing context-based models across the enterprises to capture the comprehensive spectrum of sensitivity classification for datasets.
Learning Objectives: 1: Understand the problem space of data sensitivity classification. 2: Learn about context-based classification models concept and implementation approaches. 3: Understand the classification before use paradigm.
Pre-Requisites: Familiarity with data protection and privacy principles, data risk management.