How and Why to Vet Vendor AI Software Use for Security Risks - Episode 214

On this week's Compliance Unfiltered, unlock the hidden risks driving AI security nightmares, and learn how proactive vendor vetting can save your organization from irreversible breaches. As AI integration accelerates across industries, many organizations are blindly rushing in, unaware of the lurking dangers that could compromise sensitive data and even their reputation. The CU Guys expose the critical gaps in vendor vetting practices and offers a clear roadmap to protect your business in the age of AI.Episode Transcript:Now, everybody's looking for a better, more efficient way to do everything.And in 2026, that usually includes AI. How is this kind of a topic that should be on the forefront of everybody's mind?Well, I mean, the, the, the advent of AI has, you know, fairly quickly, um, may have taken a front row seat in a lot of organizations in, in just about every industry. Um, you know, there's third party, you know, third parties that are integrating, you know, AI engines, chatbots into basic subscription packages, whether you're wanted or not. And, you know, AI is getting packaged into, you know, office products, search engines, employees are using them without even, you know, a consideration for any of the potential security implications. So, you know, as, as AI permeates the workspace, uh, it's not going away anytime soon, so, um, and that, that poses an issue for organizations.They, they, AI presents some unique security challenges that, you know, most organizations aren't fully prepared to address, um, let alone that, you know, depending on the organization security stance, you need to be able to consider, you know, locking down software so that, you know, your folks can't inadvertently share inappropriate data with, you know, with third parties. So, um, you know, you need, you need a couple of different, you know, elements, um, to, to be able to, to be able to, to bring into play, um, you know, kind of a framework, if you will. So, um, you know, including your, you know, kind of your AI policy or approved software lists, your, you know, vendor vetting, you know, we already did, did a fair amount with, uh, you know, kind of AI, AI policies and approved software lists. So, you know, today we'll, we'll focus in on, uh, you know, on the, you know, kind of the vendor vetting, you know, leg of the stool, if you will, and, you know, how to, how to go about, you know, going through vetting vendors, et cetera.So good times.Good times indeed. Now, where should an organization start?Well, as you're, as you're going in, first and foremost, just to kind of gloss over it, certainly every organization needs to have policies that are, you know, kind of governing the use of their, of their artificial intelligence. If you don't, if you don't have a standard for your organization, then people, people are, they're just going to paint whatever they want to paint. And that typically means outside the line. So that's not good for anybody.But, you know, it's, it's going to introduce security risks for the organization that they, you know, they, they aren't even prepared for. So, you know, before you can go through deciding to vet any vendors, you need to make sure internally you've kind of done the, the, the forethought and thought leadership around, you know, how is our organization going to approach the, the advent of AI. You know, defining, you know, acceptable uses for AI, what constitutes sensitive data within the organization, you know, these are, these are kind of critical first steps where, you know, you want a well communicated standard. So that you can, you know, have a, have a shot at ensuring that your proprietary or protected data, you know, you know, doesn't end up in the, in the hands of an AI, AI system DB. So it's, it's kind of a good first step for organizations as they're starting to, you know, starting to pin things together.