From safeguarding corporate data to keeping e–commerce transactions secure, today s IT professionals are tasked with enormous and complex data security responsibilities. In Data–Driven Security, Jay Jacobs and Bob Rudis draw together three of the most important topics in IT security, data analysis, and visualization to present a real–world security strategy to defend your networks. Turning their backs on insufficient security based on hunches and best practices, the authors help you access the world of security data analysis and visualization, where real data drives security decisions, and they teach you to apply the principles of that security with real–world cases.

Develop an understanding of how to acquire, prepare, and visualize security data
Learn how to use the analytical and visualization tools in R and Python
Dissect IP addresses to find malicious activity
Map security data and learn statistical techniques to look for significant connections
Understand how visual communication works and how it can help you see and present your data clearly
Develop effective, informative security dashboards
Design analytical models to help you detect malicious behavior
Gain practical how–to knowledge from specific, real–world use cases detailing an array of data and network security scenarios

Visit the companion website at www.wiley.com/go/datadrivensecurity for additional information and resources

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