Welcome to Let's Talk ASPM. My name is Mark Lambert, Chief Product Officer here at ArmorCode. And today we're going to talk about AI and its role within application security or actually really software security more broadly, and how we can leverage AI within an application security posture management platform such as ArmorCode.
Now, for us to be able to successfully and meaningfully leverage AI. You have to have what we refer to as the three V's. The first, the volume. And this is where ArmorCode has now processed over 10 billion findings. You have to have variety. And we have now over, 250 different integrations with, source tools, everything from threat modeling, all the way through application security, software composition analysis, static application security testing, DAS and the like, all the way into cloud, container, Infrastructure and even endpoint security, bringing all of that data together with giving you a lot of variety of data from a lot of different source tools, but also different source tool categories.
And then the third is validation. And this is where I'm good has been leveraged by over 2000 security experts supporting over a hundred thousand software developers. So really those three V's. are the key to creating meaningful, AI based functionality. And our first functionality that we released is all around correlation.
This is what we released at RSA 2024. And this is where we're able to correlate data from across different software security tools, being able to help identify the root causes, the points of remediation, and but also identify where you can maximize your efforts to be able to reduce an issue and therefore reduce your overall finding count or your overall vulnerabilities.
Now, that's one of the first bottlenecks, figuring out what to work on. And the next one though is how do I actually start to fix it? And this is where the AI remediation functionality comes in, which is what we're releasing at Black Hat. 2024. What AI remediation does within ArmorCode is we're looking at the data that we're getting associated with a particular finding and identifying potential paths that you can take or actions that you can take to mitigate that issue or resolve that issue.
Often, when we start thinking about remediation guidance or Mitigations often is a one to one relationship. So you look at the data that's coming from a source tool. It's going to say, Hey, you've got this problem. Here's how you fix it. But as we all know, in software development, you can't always do that particular thing.
Maybe the library and you can't update. For example, if you've got a software composition and analysis issue and that library, you can't update it right now because there's too many other things in the application is going to break. So I need some alternatives. I need some different ways of addressing it.
And to come to those answers often requires lots of Google searching, looking at Stack Overflow, trying to figure out what's going on. This is where ArmorCode is leveraging a dedicated, trained LLM to really help you understand how you can fix these issues in a number of different ways. So presenting you, yes, hey, you update this particular library, apply this particular service pack.
Or what about techniques that you can put in place to potentially prevent that issue from, or that vulnerability from being exploited? What are the best practices you should be doing within your organization? What training exercises? So this is really the step number two in ArmorCode's AI-Powered ASPM platform.
There's going to be more to come over the rest of 2024 and beyond. So stay tuned to this channel. Yeah. And as always, if you've liked what you've seen today, click like, subscribe, and then we look forward to seeing you on the next podcast. Thanks very much. Stay safe. And by the way, if you want to learn more information about this AI remediation functionality, as well as the AI correlation, check the link below in the show notes, and that'll take you to some of the print announcement information.
Thanks very much for watching. Take care.
