Transcript
Mike Matchett: Just kind of give me an overview at this point of what's changing in IT security? What's evolving there? Why is it so hard for companies to stay on top of this? Hank Schless: So I think that ah, you know, there are three kind of key things. You know, people talk about data security. And I think, you know, Mike, I think your question at the start is good. Like, what really is data security? What is it actually mean? I mean, I think it's a moving target, right? It's an evolving definition that, you know, whether you you or Andy running around, you know, a few years ago with with physical files or someone you know, or Andy now, you know, looking at, you know, everything in the cloud, how is that all evolving and what does it actually mean? And the way that I think about it is kind of in three key ways, right? So there are really these three key challenges that I think across the board everybody is trying to deal with. And the first one is enabling secure hybrid work. This is sort of an obvious one. We all know why. We all know what the pandemic caused in terms of hybrid work and who's accessing data, how they're doing it. But that's really kind of challenge number one. Challenge number two is, is detecting and mitigating data risk and I kind of when I talk about this, I sort of flip flop between mitigate and minimize because there is never a point where you will have zero data risk. That's just it's impossible. And it's sort of like, you know, I think it's sort of like achieving full zero trust across the board. It's all this stuff is changing so much that that is actually, I don't think, truly fully possible. You just everyone just kind of does their best basically to keep up with with what's changing. And again, whether that's some of the stuff we talked about before the external threat landscape, internal users enabling your users to be able to be productive from even now as more people are coming back. I mean, I'm in our office here today, um, you know, whether I'm using my work laptop or my personal, you know, mobile device, being able to understand what is posing risk to that data and being able to, to understand that, mitigate it and keep people keep people in your and your entire organization safe. The third thing really is also simplifying the complexity of all of this. You know, I think that this is one of those things that everybody involved in in any sort of technology these days is seeing that, you know, it's great that we can be so productive from anywhere. It's great that, you know, this device can access just as much on my Google Drive as as the laptop that I'm, you know, speaking at right now can. And that's great because if I'm on the road and all of a sudden someone says, hey, can you add some documents? I can do that. But it introduces more complexity. So how do you how do you really mean? I don't really like the word 'streamline', but how do you how do you really kind of centralize things in a way that helps solve, you know, the hybrid work problem, the expanded data risk problem, but doing it in a way that keeps up with everybody. So those are kind of the three, the three key challenges that I look at and wondering if people can can keep up. And I think. Andy Olpin: The I think the simplification is an important addition here because honestly DLP has been a project that every company has at least flirted with for the past 25 years. Right. Right. And they flirt with it. They look at the implementation. Oh, man, that's a lot. They look at the amount of of work their teams would have to do. You know, they're they're contemplating. All right. I'm going to need to spin up a 20 person team to start reviewing documents. I'm going to have to go teach all my users how they identify sensitive documents. And a lot of times that just gets abandoned. Right? So in addition to just simplifying IT complexity, we also need to simplify the complexity of knowing where your data is so that we can figure out what you what you need to do about it or what you can do about it.
