Dhrupad Trivedi
Analyst · BTIG. Please go ahead. Your line is open
Yeah. Good questions. And maybe what I'll answer that, Gray, I would segment that between sort of our security products and then products that are influenced by AI spending, right, a little separate. So on the security side, I would say what we are focused on is really expanding the categories we can provide to customers with still a common way to manage and run them right. And so within that category, we are improving our DDoS detection and mitigation products, adding things like bot management, which may be adjacent to those categories. And this is kind of ongoing expansion that you should see play out in second, third, fourth quarter of this year, that basically does two things, improves our competitive position, but at the same time, gives us a natural way to scale our security platform where we have done the work on the kind of foundation and the management layer already, right? So those, I would say, are in the next six to 12 month window, we should start seeing those as enhancing our security story incrementally as well. As it relates to some of the AI-oriented products, I would say, on the first layer where people are building new data centers to support AI traffic. We will probably see that impact as a positive thing in 2025, probably, again, towards the second half of the year. But the excitement around that is really that when they are building these data centers, things like throughput, latency, connectivity are more important. So our advantages as it relates to those attributes are a direct advantage then. So -- and the data point for us is customers are engaged with us in reviewing those kind of build-out plans, right? And that is current products as well as kind of road map. Second layer of it is using AI to develop capabilities like predictive analytics is, I would say, customer excitement is good. But the deployment cycle is probably a little bit further out. And the reason for that is, as we have said before, there is a way of -- there is a massive build-out of AI. But then the real business is when enterprises are doing their local deployment of it local, learning centers and inference models. And our engagement is with customers, right, who are using AI, not necessarily just building them today. So that's positive traction, but that is aligned more with the wave of mass adoption of AI versus just a massive initial buildout, if that makes sense.