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 a behavioral analytics platform to enable IT operation and security to end the days where breaches go undetected for hundreds of days and where IT operations problems go undetected for periods of time. I founded Prelert about six years ago.
Sramana Mitra: Where are you located?
Mark Jaffe: The company is based just outside of Boston in Framingham.
Sramana Mitra: Is your background in security?
Mark Jaffe: Yes. Prior to starting Prelert, I was at McAffee with the acquisition of an earlier company. This is actually my seventh startup company. Number six was Securify. I don’t know if you remember Securify?
Sramana Mitra: I do remember Securify.
Mark Jaffe: I was involved in the growth of Securify that led to secure computing and, ultimately, McAfee acquiring the technology to help correlate identities with network traffic. This technology was valuable to McAfee as they were looking at secure computing organizations. While at McAfee, not only was I helping to transition my team into the McAfee organization, but more importantly, I was working to expand the value that can be achieved from all of the logs that get thrown off of firewalls and IDS systems. It was increasingly clear that the fingerprints of security issues were often in those logs, but were going undetected.
I actually started my career as a network operator. I’m a techie at heart. I’ve always believed that we spend a lot of time in security and operations looking through logs to make the world a better place, but it’s really hard to get insights from logs.