Use data visualization to get the most out of security analytics datasets.
Just as a picture is worth a thousand words, a good data visualization can offer much more information about a large dataset than raw numbers or outputs ever could. As security teams advance their security analytics practices, data visualization will play an important role in their day-to-day analysis. Here are some of the most effective ways organizations today are graphically crunching numbers to gain a better understanding of their security postures.
Hierarchical Tree Map
Hierarchical tree maps can offer a spatially ordered, at-a-glance view of rankings that can prove particularly useful in areas like IP addresses and classes in object-oriented design. Color, size of boxes, and location on the tree map can all play a role in weighting an object's significance in ranking. According to Frank Dickson, an analyst with Frost & Sullivan, WatchGuard offers a good example of this in its Dimension visibility product, which filters traffic to highlight the most critical information on active users and their connections, with a pivot option to facilitate drill-down and filtering tasks.
6 Tools to Protect Big DataMost IT teams have their conventional databases covered in terms of security and business continuity. But as we enter the era of big data, Hadoop, and NoSQL, protection schemes need to evolve. In fact, big data could drive the next big security strategy shift.
Big Data Brings Big Security ProblemsWhy should big data be more difficult to secure? In a word, variety. But the business won’t wait to use it to predict customer behavior, find correlations across disparate data sources, predict fraud or financial risk, and more.
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