I spent a lot of time this week at the RSA Conference, along with 40,000 others, trying to assess the current state of the security industry and get a feel for where it's headed next. It was a pretty massive event, spread across all three halls of the Moscone Center in San Francisco (thankfully the folks behind the conference resisted the urge to go full Ellison/Benioff and shut down all of Howard Street).
The idea is to keep gathering ideas and meeting people in preparation for our first Structure Security conference this September. But over the course of several conversations this week, I kept hearing more and more security professionals talking about big data and machine learning as core parts of the next generation of security tools.
One of the most interesting sessions I watched was a panel of cryptographers (including Martin Hellman and Whitford Diffie, the inventors of public-key cryptography who
won the coveted Turing award this week), and you know that field is going to be transformed by advances in artificial intelligence: Diffie actually worked for the Stanford Artificial Intelligence Laboratory in the 1970s when co-developing that award-winning technology. I spoke at length on the show floor with Tomer Weingarten, CEO of SentinelOne, about the machine-learning techniques his startup is applying to move beyond traditional antivirus software capabilities.
Next week at Structure Data you'll hear from some of the finest people in data science, explaining how they are pushing the envelope of existing knowledge in AI, deep learning, and data analysis. Based on what I saw this week at RSA, the security folks are definitely on board with this future. And if something as vital and lucrative as cyber security is cozying up to machine learning, you know this field is poised to explode.