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How Big Data Security Analytics Will Benefit Against Cyberattacks

By Enterprise Security Magazine | Thursday, September 10, 2020

The continuous digitalization of businesses is increasing the risk of cyberattacks. Big data analytics can help companies in protecting their data and other valuable information.

FREMONT, CA: In recent years, the idea of the corporate security perimeter has been missing because of the increasing growth of cloud and mobile services. Moreover, information services have also experienced a massive shift from the traditional protection tools towards monitoring and identifying the malevolent activities practiced in the corporate networks.

Today, cybercriminals are using sophisticated methods to attack the network, and malicious insiders are also increasing due to which large scale security breaches are being conducted. Therefore, such incidents have made it evident that the traditional method of information security has to be changed.

Companies Have to Restructure their Cybersecurity

Analytics can be one of the essential factors that can increase the strength of cybersecurity. It has become necessary for the organizations to restructure their cybersecurity with the help of technologies, and Big Data Analytics can help them.

How does big data analytics work?

Big data analytics can help companies enhance their power of detection. With detection, it will become easy to recognize the change of patterns, execute detailed analysis rapidly, provide real-time information, perform complicated correlations across various data sources.

To conduct such analysis, companies require an advanced analytic tool like big data security analytics as it can run analysis on the massive amount of present and historical data. They can enhance the strength of their security by combining the present state of analytics with security.

Big Data Security Analytics is a New Generation of Security Tools

In recent years, a new type of security analytics has been developed while the security industry was responding to cybersecurity challenges. This security analytics can collect, store, and analyze a massive amount of security data within the enterprise in real-time.

Moreover, it also has context data and external threat intelligence. The data that has been collected is analyzed with the help of correlation algorithms so that it can identify irregularities is the system, thus detecting malicious practices. These tools also operate in real-time, and if there are any security breaches in the system, they will alert the company. The alerts are also enhanced with forensic details due to which the job of the security analysts become easy as they can quickly detect and prevent cyberattacks.

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