Will Big Data Tech Save Cyber Security Analysts?

Source – i-hls.com

Most large organizations have billions of security-related logs per day and security analysts need to be able to automatically and intelligently parse critical data and cope with the growing cyber threats.

A new security data lake that enables organizations to easily store and access critical log data in the enterprise was recently launched, basing on advanced big data technologies.

A data lake is a method of storing data within a system or repository, in its natural format. With the growing abundance of data in the enterprise that comes from network devices, endpoint computers, servers and security products, security analysts need an easy way to store and extract insights from that data.

Security data lakes enable analysts to access logs from relevant systems to detect suspicious user activity while automating the connection to various types of logs and the processing of the data to simplify the overall approach.

The new data lake technology developed by Exabeam is built from the ground up to address security needs in a world of big data, identity-based threats, and painful expertise shortages. It allows security teams to organize their logs and enrich them with important contextual information. It adds much-needed accuracy and efficiency into the exercise of detecting suspicious activity like insider threats, as well as performing incident investigation.

The solution centralizes all relevant logs to reduce the work of collecting logs from multiple systems. It is built on proven, open source, big data technology, providing unlimited security data collection, indexing, and search, according to globenewswire.com.

Want to learn more about data lakes and other new big data technologies? Various solutions for big data challenges in both the civilian and military spheres will be discussed and presented at the coming Big Data for HLS Conference and Exhibition. 

The event will be held on February 21st at the Lago Conference Center in Rishon LeZion, with the participation of the leading experts and industries of the big data ecosystem in Israel and abroad.

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