Strengthen Network Security
with UEBA Cyber Security
The evolution of Gartner UEBA & UEBA Meaning:What is UEBA Security, UEBA baselines user behavior and entity behavior activities, and combines it with peer group analysis, and then searches for and analyzes anomalous activity in order to detect potential or actual intrusions and malicious activity. UEBA goes beyond fact-based security and simple correlation rules, and leverages both user behavior and entity behavior-based analytics, and models threats based on individual user behaviors.
Why UEBA Security improves UBA and legacy SIEMs :User behavior and Entity Behavior Analytics represents an important improvement over UBA and legacy SIEM systems for a number of reasons. First, it overcomes the limitations of SIEM correlation rules—and the reality that in many cases the whole model of correlation rules is broken. Some of the problems associated with relying on SIEM correlation rules include:
- You can’t find attacks because the rules lack context, or miss incidents that have never been seen before, thus generating false negatives.
- Rules require too much maintenance.
- Improperly filtered rules can make incident response execution slow because administrators need to filter the application of rules to determine which data is relevant, and which data is irrelevant in your event landscape.
Why UEBA should be part of any organization’s security framework:
We all know that cyber attacks are becoming more complex and harder to find. So trying to write correlation rules for thousands of different possible scenarios is no longer practical. This is especially true in the case of insider threats. If you establish rules such as “Send an alert whenever a user sends an email attachment larger than 4MB,” you would need to consider every individual user, and then establish exceptions. For instance, graphic designers in the marketing department might routinely send large PDF files. Rather than asking your UEBA cyber security provider security experts to manually whitelist every case like this, UEBA replaces traditional Boolean alerts with probabilistic models or risk factors based on advanced analytics.
In this way, UEBA superior insider threat detection compared with conventional SIEM correlation rules. Plus, UEBA tracks anomalous user behavior and suspicious lateral movements not only within your organization/network, but it can also be associated with your cloud services, machines, mobile devices, and IoT assets. User behavior analytics can also provide dramatic time savings because teams don’t have to dig into logs in diverse locations to put together a story of the incident. A sophisticated UEBA cyber security provider system ingests data from all the different log sources—such as Windows AD, VPN, database, badge, file, proxy, and endpoints—and builds a contextual story around the incident for your security teams to analyze.