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Data-Driven Security: Analysis, Visualization and Dashboards by Bob Rudis, Jay Jacobs

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Chapter 7

Learning from Security Breaches

“In times like these when unemployment rates are up to 13 percent, income has fallen by 5 percent, and suicide rates are climbing, I get so angry that the government is wasting money on things like the collection of statistics!”

Hans Rosling, quoting a caller on a radio talk show, The Joy of Stats

When organizations experience a security event, their natural reaction is to focus on getting back to normal as fast as possible. They see the event as a sign of failure or an embarrassment and everything they do centers on minimizing the impact and putting the event behind them. In that environment, they often overlook one important task and miss the silver lining.

During such an event, a rich set of a data is generated and just waiting to be collected and analyzed. Think of it—If you could somehow gather that data, make sense of it, and perhaps even compare and contrast it with other security events, you could learn how to prevent the next attack. Maybe even better, you could identify trends and patterns so that you could prevent multiple common attacks with a single preventative control. Achieving such a benefit is the goal of this chapter. You'll learn how to determine what data to collect and how to manage it. The chapter also discusses how to analyze and share this data.

In order to tackle the challenge of learning from breach data, this chapter leverages the Vocabulary for Event Recording and Incident Sharing (VERIS) framework. One of the ...

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