AI & Cybersecurity: The Future of Verification #shorts

played Counter-Strike. That's my favorite conference, and I was damn good um because, you know, this guy joined the game, Joe Bot. I was back then 16 years old and I started to research about Joe Bot. And damn, it was a guy younger than me, 15 years old from another city in Germany, who wrote this bot as part of his abitur. What is amazing is really, you know, this inspired me to go into machine learning. And if you go out today um out of this presentation, I'd like you to see AI in cybersecurity is through a lens not of co-pilots or detectors, but through a lens of verifiers, technical mechanical verifiers, because who owns the verifiers is going to win this this

race. Now, to summarize that, the you know, what this model model teaches us is that the ease of training AI to solve a task is proportional to how verifiable a task is, which means all tasks that are possible to solve, all tasks which are possible to solve in an easy way will be solved by AI or can be solved by AI. And I think this is really really important statement for us to understand how this can be applied to cybersecurity going forward, because just looking at all the other benchmarks and what is a benchmark? And I start think we start to see that again, AI offense is dominating. And therefore, my call out is really to

you, who owns the oracles owns the AI race. And with this, thank you very much uh for your attention.