The Cover Story Featuring Our CTO

The August 2016 issue of the Information Systems Security Association (ISSA) Journal features a story penned by our CTO, Stephan Jou. (The Information Systems Security Association is a not-for-profit, international organization of information security professionals and practitioners.) In “Machine Learning: A Primer for Security,” Jou lays out the origins of machine learning, how it works, and why it’s so important to security analytics.

Jou explains how the cybersecurity industry is still behind the curve in tapping into machine learning’s full potential. He goes on to say, however, that with machine learning leveraging new data sources and big data, security should achieve more breakthroughs in the coming year. “Machines are simply faster at repetitive tasks like finding inconsistencies in the patterns of data usage, and machines do not tire from scouring through billions of data events per day,” he writes, adding that it “can reduce the cost of standing up and maintaining a security program.”

“A skilled cyber hunter fed with amazing data sources and machine learning will save time, because the math never gets tired and rarely, if ever, makes a mistake,” he says. “This leaves the experts far more freedom to focus on edge cases and provide feedback and guidance to the analytics engine to improve behavioral models.”