AI Security: Practical Guidance Beyond Hype #shorts

Our next talk is with Florian and Hannis. They'll be talking about the practical guidance to uh AI security. Thank you. >> Thanks for the introduction. Thanks for having us. Um we're also sorry that we have to talk about AI uh but we kind of feel the need to to do this. Um so Hanis and me are a little bit on a on a mission here. Um because if you look at what's been discussed concerning AI security uh you're you're basically looking at two kinds of two ends of the spectrum. One end is like uh you have very very very much academic approaches in in uh thinking about AI security and what the problems are and how you can

solve them. And um then the other end of the spectrum is basically you you tweets that just show you funny stuff on on uh on concerning generative AI. So we would like to kind of dump to you what we feel AI security should be and it's actually not that complex if you look at if you look back at what you actually have at hand in in in dealing with IT security. So um we will go through a technology overview what we have been looking at and what we're talking about actually and we were going to discuss a little bit the attack surface of those uh applications. So AI applications uh do have a considerable amount of attack surface and it's also

kind of a new attack surface in some terms. Uh we're going to talk about that and then we're going to talk about some design considerations so you guys can I don't know clean up your head a little bit and and dive into and judge what other people are saying and if this is crap or not. Disclaimer most of it is crap. So, um I don't have to tell you