Context-Based Data Sensitivity Classification

Explore a comprehensive conference talk on context-based data sensitivity classification models presented at RSA Conference. Delve into the foundations of accurate data classification, focusing on developing enterprise-wide context-based models for comprehensive sensitivity classification of datasets. Learn about the problem space of data sensitivity classification, implementation approaches for context-based models, and the "classification before use" paradigm. Gain insights into Cisco's Data Classification Framework, adoption challenges, and enforcement strategies. Discover how to build decision context models, identify correct units of processing and data protection, extract context by asking the right questions, and apply appropriate controls. Understand the need for a comprehensive business solution supporting the "Classify Before Use" paradigm and explore enhanced data security building blocks for accurate user guidance.

RSAConference 2019 San Francisco March 4-8 Moscone Center
Where's my Data?
Cisco's Data Classification Framework
Data Classification Adoption Challenge
Enforcement: the Rubber hits the Road
Data Identification Cohesion
Building a bridge
How To Apply The Model • Building decision context models
a): Identifying the correct unit of processing and data protection
Step 1 (b): Identifying the correct data object for context extraction
Extracting context - Asking the right questions
Building the model with the owners of the data
Preserving context and applying the right controls Need a comprehensive business solution in support of "Classify Before Use" paradigm..
Step 5: Overall Approach
Enhanced data security building blocks
Accurate guidance for users using the model