Data Breach or Disclosure: A Quantitative Risk Analysis

Posted on in Presentations

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.
Evan Wheeler


CISO, VP Risk Management, Financial Engines

security analytics risk management risk & vulnerability assessment data security consulting & professional services


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