Context-Based Data Sensitivity Classification

Posted on in Presentations

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.

Familiarity with data protection and privacy principles, data risk management.

Anchit Arora


Program Manager, CISCO SYSTEMS

John Cashman


Information Security Architect, CISCO SYSTEMS

Protecting Data & Applied Crypto

data loss prevention data security PII privacy security operations



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