Thought Leaders in Cyber Security: Mark Jaffe, CEO of Prelert (Part 3)

Mark Jaffe: The challenge in building Prelert and this sounds like a simple approach, is learning normal behaviors from billions and trillions of terabytes of data per day and being able to do that accurately. It turns out to be really hard. That’s what Prelert is all about – having cracked the code to be able to give our customers a handful of alerts that represent real indicators of compromise.

Sramana Mitra: Interesting. What kind of adoption are you seeing in the industry for what you are offering?

Mark Jaffe: There’s been transition. The adoption has been really good. In the first quarter, we grew almost 300%. We’re growing nicely now. I think there are still candidates for adoption because a lot of security teams are still struggling to get the existing approaches up and running. Fortunately, more and more organizations are recognizing that in order to secure our environments, we have to move from a traditional tools and appliance approach to more of a data analysis approach. The days of buying one or two more boxes to solve a problem are over. It means that we have to move away from buying a lot of tools to collecting a lot of data and analyzing that data. That transition is happening.

We see that with the growth of people centralizing security-related logs in places like Hadoop, Splunk, and Elasticsearch. We see the operations team spending more time not just in looking at the alerts of the last decade’s appliances but now also looking and mining for data. The challenge is humans are only so good at mining that data. It’s a very time-consuming, risk-prone process. We automate that. That’s our value. I see more and more organizations moving to this data-driven approach to identifying and assessing risks. That seems to be growing nicely.

This segment is part 3 in the series : Thought Leaders in Cyber Security: Mark Jaffe, CEO of Prelert
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