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How is Big Data Making Cyber Security Robust?

By Enterprise Security Magazine | Tuesday, November 26, 2019

Big Data SecurityBig data security possesses the power of most of the security tools for all types of businesses. To enhance the capabilities of their tools, many firewall and antivirus (AV) providers utilize big data, which supports them to train and refine their offerings.

FREMONT, CA: The term big data is used to portray the use of vast volumes of data that are too complex for traditional processes. At this juncture, big data analytics comes in. This technology allows the security teams to analyze more log and event data compared to the traditional cybersecurity solutions. The analysts of the Security Operations Center (SOC) leverages big data to automate various operations, like correlation rules, that can drastically reduce the number of false positives generated by the system.

The meteoric rise of big data was possible only because of machine learning (ML) and deep learning (DL). The ML and DL technologies can process vast amounts of data gathered by the system and determine patterns that might indicate a cyber threat. The biggest challenge pertaining to big data security is to analyze and handle large volumes of data on time and also enable quicker Incident Response (IR) and extort useful information which can be used by the security team.

Here are some of the web security solutions that leverage big data to make the understanding of the benefits of big data insecurity.

Intrusion Detection System (IDS)websecurity

This system monitors the traffic that passes through the organizational network and allows enterprises to detect and identify malicious traffic and cyber attacks. Big data is beneficial for IDS because of its ability to provide all the information needed to monitor the network of the company.

User Entity and Behavior Analytics (UEBA)

UEBA is a data monitoring tool specially fo known threats and behavioral changes in the data of the users to offer visibility, which is critical to identify user-based risks which can not be detected by the traditional methods.

Incident Response (IR)

It is an approach to deal with security for various incidents like cyber-attacks and security breaches. The incident response focuses on identifying, detecting, isolating, and eradicating the base of the event. While the incident response is not a new thing, big data has enabled several critical improvements in IR and will lead to more significant, advanced, and capable IR solutions.

See Also: Top Cybersecurity Companies

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