Kolawole Samuel Adebayo: The future is going to look very different than what we have today. In the future, you will have adversaries using agents and very powerful models to find zero-day vulnerabilities, find holes in your attack surface, ⁓ and they will do it in machine speed, and they will do it in scale that we've never seen before. When you talk about the concept of ⁓ shifting away from human-led socks into... ⁓ always on AI operators or systems that can catch a lot really fast. What does that mean in practice and what really is driving that shift from human led socks to this always on AI systems? I think there are multiple parts to it. I think the first one, see that today we don't have enough talents and we don't have enough people to deal with today's load. So socks today, stay behind. takes them a lot of time to remediate threats and risks. And the byproduct of that is that a lot of organizations are getting breached. Tom, I'm curious about your thoughts on the news on Mythos last week. It was the clearest articulation yet of something the market is only starting to process. AI isn't just a better security tool, it's a structural threat to the existing security business model. And they're saying that where the opportunity lies, firms that pivot from human error prevention to agent behavior monitoring will define the next era. What are your thoughts on that and do you agree? When you think of Mito's, it is not a cybersecurity related model. It's just really good at coding. And when you were so good at coding, you can find all of those uncovered vulnerabilities that have been living for the last 26 years in, you know, Linux or all the other platforms. Nobody put so much effort finding those vulnerabilities before. And it's never been as easy as it is right now. that every 12 years old with a thousand dollars worth of tokens with entropy can have the capabilities that a nation state has today. So things will have to change.