In the blog “How Generative AI Can Benefit Knowledge Management”, we looked at the benefits of AI to knowledge management to enhance the quality, automating the creation of content and enabling more engaging content. In enabling generative AI to become part of the knowledge management framework introduces concerns about accuracy, data bias, privacy and security. Now, it’s time to look at how we can make it work well together...

The old saying goes, “practice what you preach.” When Ivanti started its "Customer Zero" initiative, Bob Grazioli, Chief Information Officer, saw it as a perfect opportunity to test the products and services consumed by customers. For example, during Ivanti’s move to the cloud, Grazioli and the team experienced the same issues that customers would’ve experienced in their migration process. This first-hand experience allowed them to make improvements along the way.

The security of your organization’s network is paramount to its success. With the ever-changing landscape of cyber threats, it's important to take the necessary steps to ensure that your network is secure and compliant with industry regulations. Ensuring compliance requires you to know what’s on your network. But how can that be done when only 48% of leaders and security professionals say they run their asset discovery program at least once per week?

Increases in attack surface size lead to increased cybersecurity risk. Thus, logically, decreases in attack surface size lead to decreased cybersecurity risk. While some attack surface management solutions offer remediation capabilities that aid in this effort, remediation is reactive. As with all things related to security and risk management, being proactive is preferred. The good news is that ASM solutions aren't the only weapons security teams have in the attack surface fight.