We're seeing a large increase in malicious activity going on, with AI being used to cause malware to continuously morph, so we'll be continuing to use AI for good and to try to detect that. This year, we are extending our use of predictive AI for more of our portfolio and weaving in some of the benefits of large language models.
We're continuing to use AI as a differentiator, but it's one tool in the tool belt, there are times when it is not the right solution. Nothing really replaces cybersecurity knowledge: understanding the history of cyber attacks and where adversaries might be focusing. The biggest weapon we have against cyber attacks is education – and that means understanding people.
We have to try to separate the hype from the reality. We want to worry about the issues that are facing us today, not the ones that might be facing us in the future. How do we find the high risk areas and protect them? That’s where I'm focusing my main attention.