The amount of data being analyzed on various networks has dramatically increased over the years, thanks to big data technologies that are making it easier to capture and store data. With the increase in volume, sources, and types of data being received and handled by various networks, analysis of the enormous data is still a big challenge to most organizations.
Let alone, the difficulties encountered by businesses in analyzing voluminous data, there is still the unending war between cybersecurity professionals and cybersecurity criminals. This war has changed shape over the past years, with criminals becoming more sophisticated in their attacks. The cybersecurity professionals, on the other hand, have been left with the only option of upping their game.
Data visualization is applicable on many wings of information security such as security monitoring, forensics, anomaly detections, malware analysis, and security metrics. Additionally, data visualization is a major contributor to various emerging fields of data analytics, machine learning, data science, among others.
Going by the common phrase, ‘a picture is worth a thousand words,’ we can outrightly conclude that the manner in which data visualization is made in information security really matters, especially in this era of big data. The more the visualization technique can tell a story, the better it is for cybersecurity experts to quickly and efficiently tackle the different threats they are facing.
Traditional metrics have been massively exploiting numbers and tables in the various information security data analytics techniques. Assuming that we all have encountered numbers and tables at some given points in our academia, there is certainly the challenge of missing out some very important pieces of information.
Puting the traditional case in the current information security scenario, there is so much to analyze while maintaining the integrity of a network; the enterprise log data, network traffic data, metadata, netflow data, among several other sub-categories.
3D Visualization solutions by spatial are some of the best examples of how to add life to huge volumes of information security data that need quick analysis to enable immediate and future executions of safety precautions. Unlike 2D visualization which just scratches the surface of the important issues, 3D visualization inspires and invokes curiosity in cybersecurity experts in outlying areas that they can’t even imagine in the first place.
What 3D Visualization Tools do for information security is that they convey most ideas, with least ink, in the least time, and in least space. Rather than grapple around with thousands of logs, data scientists tend to have a real life encounter with them through 3D presentations that eliminate junk and point to most of the specifics required to maintain the information security circle.
Three-dimensional models present a huge potential to the manner in which information security is handled. It provides a visual and highly interactive environment that allows decision-makers to discover valuable information required for maintaining the security of various networks. It spots unusual trends, making information security data analyst identify patterns with lesser efforts and more insights on their next cause of action.