As Internet threats continue to evolve and emerge, how can companies keep up?
Security practitioners need actionable information in order to identify and remediate incidents as quickly as possible.
Following their contributions to the 2015 Verizon Data Breach Investigation Report (DBIR), Bob Rudis, Verizon Security Data Scientist, and Stephen Boyer, BitSight CoFounder and CTO, discuss how to implement a security practice that has data analysis at the heart of the decision-making process. This use-case based presentation talks about the lifecycle of transitioning data use from an art to a science that can be reproduced across organizations.
This webinar will explore:
- How to establish a baseline of data analysis to assess security performance
- How historical analysis of security data can be used in order to benchmark security performance, manage third party risk and assess cyber risk in underwriting
- About the skills required to practice data science for security
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