Sramana Mitra: I got it. Let’s actually take this forward. Now, I’m going to ask you to go up to that 30,000-foot level and talk to me about the application of artificial intelligence into the field of cyber security. In more general terms, what are some of the things that you’re seeing? Who’s doing what?
Sramana Mitra: If I understand correctly, you have this behavioral detection data anlaysis going on. The machine learning is correcting things. As new use cases pop up, the system administrators can set up new heuristics on what the machine learning algorithm should be doing in an unsupervised mode to correct those. Mark Jaffe: It’s not
Sramana Mitra: I think the data-driven approach is growing for sure. The follow-up question to that is, do you have direct competitors that are following exactly your approach? Mark Jaffe: There are a lot of competitors who are applying machine learning to solve the data problem. I couldn’t even name them. Since this interview started,
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
Mark Jaffe: So I met Steve Dodson who’s the CTO of Prelert. Steve and I founded the business with the goal of automatically gleaning insights from those logs that are today missing and therefore lead to long undetected breaches and operational issues. Sramana Mitra: Can you walk us through, in some detail, exactly how the detection is
Applying Artificial Intelligence to Cyber Security is a significant trend. Read my interview with Mark Jaffe to learn more. Sramana Mitra: Let’s introduce our audience to Prelert and to yourself. Mark Jaffe: Prelert is leading a new emerging space that we call machine learning anomaly detection, which is a category of behavioral analytics. We’re building