Comparing the Top Big Data Security Analytics Tools

From Guest Contributor on TechTarget

Expert Dan Sullivan compares how the top-rated big data security analytics tools measure up against each other to help you select the right one for your organization.

In the near future, big data security analytics will become as common as malware detection and vulnerability scanning. That’s because these platforms allow enterprises to capture data from multiple, varied data sources, integrate that data in near real time, analyze patterns and detect malicious activity, as well as monitor, report and conduct forensic investigations.

This article highlights some of the most important features of several of the leading big data security analytics tool vendors — Cybereason, Fortscale, Hexis Cyber Solutions, IBM, LogRhythm, RSA and Splunk — against the five essential factors essential for realizing the full benefits of these platforms. These factors, as described in detail in the last article in this series, include:

• Unified data management
• Support for multiple data types, including log, vulnerability and flow
• Scalable data ingestion
• Information security-specific analytic tools
• Compliance reporting

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