
The strength of the system is to be able to answer questions that get phrased in different ways >> or maybe even phrased wrong. I mean, think of humans. You will also be able to like read the text where the letters are jumbled. If I like forget to say certain, you will think in fill in the blanks and still get what I want to say and they will do the same thing. But at the other hand, if you use now natural language to restrict them in any formal way and funnel them down the exact path, you cannot expect that to actually work. So non-determinism is a super big problem in IT security because if we have deterministic behavior, then we're
pretty good at IT security. If we have nondeterministic behavior, we're like screwed to be honest. So determine the I mean think about zip codes, right? If your application is accepting zip codes, that's super deterministic. You kind of really can narrow down what you're expecting and how it's going to be transferred to you. And your security uh uh measures can basically be adapted and very precise in technic in tackling everything else that's happening there. I'm not saying that we're doing this, but it's possible at least, right? Um and we always run into problems when stuff happens unexpected. That's how IT security works, right? We're like uh when we are testing stuff, we are right at the border of the use cases. We are
the guys that use the misuse cases and the stuff that you're not expecting. So, we're always bad in that category. And AI, generative AI basically just brings this to the table like it's there. This is a feature that let let me put it by