Securonix Security Analytics Prioritize Advanced Threats

Have the solution's behavior analytics helped to prioritize advanced threats? If yes, please explain with examples.

Greg Stewart
Director of Intellectual Property Protection at a pharma/biotech company with 1,001-5,000 employees
When it comes to the does solution's behavior analytics helping prioritize advanced threat, as long as you can pre-define what you want it to prioritize, I find it to be excellent at doing that. We have a very small team. It's very important for me to have the Securonix system highlight the most critical threats so that the analyst can see it. We have two models. There are the people who are reacting to something negative in the company, such as someone sending a lot of things to a USB drive or trying to email out a lot of sensitive documents. Those people are easy to catch because their behavior is anomalous to themselves and to others. But for the advanced threats, we have different models in place that will highlight what we call "low and slow" behavior, where someone might be placed in the organization by a competitor or a foreign country, with the intention of removing small amounts of data over a long period of time. We have successfully built models that detect that, as well. Any system can catch the people who are going to "break the window" and steal as much data as they can in 24 hours. It's the advanced threat that's much more intricate, but we have had success with that model.
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LeaderIn0c93
Leader - Investigations, Insider Threat at a tech services company with 1,001-5,000 employees
The behavior analytics of Securonix has helped to prioritize advance threats for us. We're still working through it, but it has helped. For example, it enables us to customize widgets, risk scores, and dashboards to identify what we want to see and gives us the ability to risk score based on our business model and what we consider a high priority.
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ChiefTecaa40
Chief Technology Officer at a tech vendor with 51-200 employees
The solution's behavior analytics help to prioritize advanced threats. That's exactly what I mean by "actionable threats." One of the key pain points for us, previously, was that the solution we were using was giving us a lot of low-value indicators which we couldn't even act on. With this solution we have fewer alerts but they're actionable alerts.
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Edward Ruprecht
Lead Cyber Security Engineer at a insurance company with 1,001-5,000 employees
The areas where behavior analytics helps in terms of advanced threats are around some of the rarity-based policies. An example would be if someone is logging in to a machine for the first time, someone who has never logged in to that machine before. Another would be a rare time of day when somebody is logging in. Policies such as rare suspicious-process also help. We have a list of processes that we typically don't expect many users to run, so if somebody's running one of them in the environment for the first time, it helps us understand that something potentially malicious or at least suspicious is taking place.
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