Wendy Thomas: Sure. I can hit the product one and then I’ll hand it back to Chris to talk about the customer as a kind of a new cross obvious. Majority now that were passed all of the resolutioning outside of the handful that’s left. Sure. We’re really proud to bring to market these offerings that help unify the security of OT systems for customers. All of you know that we’ve all seen, right, personally been impacted by industrial companies being impacted by ransomware attacks and their need for unified security, particularly for the systems that generate the majority of their revenue. And our approach to embedding that now into the Taegis platform as those systems, frankly, become much more exposed to the IT side of their house and, of course, are under attack because they’re lucrative to attack, this is a great extension of the platform to provide that holistic single pane of glass protection and visibility for customers in a space that we’ve just seen a lot of growth in, and this is an opportunity to tap into a fast-growing segment of the market.
I’ll turn it back to you, Chris, in terms of the kind of new cross customers.
Christian Grant: Yes. So Mike, our quarterly ARR was led by the majority new and cross-sells, which was evenly kind of distributed between the two. ARPC remains on a premium to the market. This is the second quarter in a row where our new customer ARPC is greater than our resolution customers. And then our accounts are rounded. So you lose some of the visibility into the growth happening on the customer base.
Michael Cikos: Terrific. Thank you very much, guys.
Operator: Our next question comes from Hamza Fodderwala from Morgan Stanley. Hamza, your line is now open. Please go ahead.
Hamza Fodderwala: Hi, good morning, everyone. Thank you for taking my questions. Wendy, first one for you. I know it’s super early days. But I was wondering, as you talk to customers, how are they thinking about using some of these more advanced AI models as far as their security process is concerned, any applications that you would call out that they’re discussing to you about? And then second part was around — you talked about using AI internally to make the business more efficient. Maybe if you could elaborate on that would be super helpful here.
Wendy Thomas: Sure. It is early days, and this is a sort of a hot topic in terms of do ask customers and they ask us about how we’re using AI and how they’re seeing it impacting the evolution of their businesses. And the applications are pretty myriad. I mean, they are looking to accelerate anything that is a repeatable type of activity by their team. They are looking to AI to figure out new ways to disintermediate sort of things that are done by humans, Code creation is a great example. Anything around content creation, digital media, there’s just a pretty endless list of what they’re considering. What we haven’t seen is obviously, deep implementation and just much more experimentation right now. So we’re kind of keeping a close eye on what that might mean in terms of their security needs.
For us, there’s really — talk about two broad brush areas. One is in the platform itself. And we have been using AI from the very beginning and the platform was architected to take advantage the vast training data that we have in place. And so when you think about, we’ve been using deep learning and machine learning models from the very beginning. The powerful thing for us that’s kind of this area is this idea of sort of generative AI to find the unknown, unknown. And I think that’s where the real power comes from in terms of security value for customers that were on the curve for and that ability to clearly detect more, detect faster and thereby prevent breaches is an incredible opportunity for us to create more value for customers and beat the adversary.
