I'll start with the attackers.
Although we're highly concerned about adversaries leveraging artificial intelligence to attack us, we haven't seen many examples of that in practice. Given that it's an evolving space, it's one that our threat intelligence team monitors very closely.
On the defence side, it's a significant asset and tool for us. Traditional security products were very good at a period of time where attacks were very repeatable. You could define signatures; you could block them.
Current attacks are very sophisticated. They're evolving on an almost daily basis. From the time of zero day out in the public to the time the commercial vendor can patch, to the time that large institutions can patch those vulnerabilities, the window, although getting so much shorter, is still significantly greater than the speed at which adversaries can develop scripting and start scanning everyone on the Internet. Part of that automation, in some cases using AI to be more rapid in how it identifies these vulnerabilities, is becoming a much more significant problem for us.
How we detect the more sophisticated actors in some of those regards, where they know how to get around our traditional security equipment, is through AI and machine learning and big data.