Sramana Mitra: Give me a couple of examples of use cases where major problems can be solved by automation. Chris Petersen: I’ll give you a more detailed example around phishing. Phishing is something that all organizations contend with. Social engineering, which is another form of phishing, is still one of the most common ways in
Sramana Mitra: I’m going to ask you one last question. As you’re sitting in your vantage point, what are some open problems that you could point new entrepreneurs to go try to solve? Ondrej Vlcek: We only scratched the surface of AI. AI is obvious. Many of the jobs that we have today will become
Sramana Mitra: What else do you want to highlight in this conversation? Ondrej Vlcek: I saw the article that you wrote about three years ago when you were interviewing our previous CEO. That was a pretty thorough interview on various parts of our history. This was written four years ago. Maybe it will be good
Ondrej Vlcek: To do security properly is not cheap. All these vendors might be creating great coffee makers or toasters, but they have no experience in building software. What they typically do is reuse something that is publicly available and hire some people. The end product is very poor when it comes to security quality.
Ondrej Vlcek: There’s also something called spear-phishing. Spear-phishing is targeted phishing that is sent to a specific individual with a handcrafted individual which includes details from the personal life of the person or some kind of project or product that person is working on. It could also be something that makes the entire message much
Kris Lahiri: We’ve had a company that specializes in just drone pictures. They take live pictures of a site by drones and keeps that integrated. It uses this as an update to see how that project is progressing and roll that up into whatever reporting they want. It doesn’t have to separately figure out what
Kris Lahiri: There is another angle which is what you were referring to. I’ll bring up Egnyte in the life sciences space. Nowadays, there’s a lot of very serious work being done by life sciences companies that are using either genomics or other types of DNA sequencing, which needs a huge amount of elastic compute.
Kris Lahiri: In those four to five years, IT either did not have the tools that they would like or people’s thinking had to change. IT was just constantly looked at as a naysayer. If I go and ask my IT how to build this environment, they’re just going to say no. So I’ll get