Ann Maya

"we leaned into our API management stack, the ability to have control in that level and discovery of APIs and managing that critical point. That's really important now in Agentic AI as well."

"The lowest common denominator there is an API, right? No matter you peel everything back, you're going to still have APIs. And that is something that will be fundamental and grow astronomically over time. So there needs to be a practical way of managing it."

"So to have that comfort and security of unlocking your AI potential, activating your data with AI, you have to think about how can I control it, right? Not the old world IT where you need put a security gate here."

"What if as your APIs enter into your environment, you do the checks there, the testing, apply your security settings there so that you're now populating a register, that will mean that those are trusted because you've already done some due diligence rather than bring it into a system that casts a queue and then you become a bottleneck again."

"Well, honestly, I think that we're also hearing from major financial institutions in the US a need for data sovereignty as well. So I don't think it's unique to Europe, but it's obviously a lot more stringent with the EU AI Act."

"some of the things that they're concerned about, and especially in the world of AI, is about data sovereignty is a thing. Also, policies around regulating. Regulating is probably the wrong word, but policies around data in the AI world and understanding what responsible AI looks like is something that AMER folks are maybe a little ahead of the game because they're asking the questions with some rigor, with maybe more rigor than I've seen in the US."