Data Breach or Disclosure: A Quantitative Risk Analysis

Closed captioning will be available in English and Japanese for all keynotes and RSAC track sessions.
Please note: All times are in SGT.
  1. Moscone West

It is imperative that our field evolves common cyber-risk analysis practices beyond purely qualitative models and embraces data-driven methodologies. This session will tackle the challenges and supposed limitations of quantitative analysis head on by comparing two data-confidentiality scenarios. These scenarios appear similar on the surface, but quantitative analysis reveals meaningful differences.

Learning Objectives:
1: Debunk myths about the impossibility of applying quantitative analysis to cyber.
2: Learn from real-world examples of how common risk models hide meaningful differences between scenarios.
3: Gain approachable tools that can be used to analyze similar use cases in own environment.

Risk analysis, data analytics.

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