“Why can’t you just use the MDM we’ve been using in corporate IT?” Sounds familiar? If you’ve been in operations IT for the last decade or more, you’ve likely heard this question from your corporate colleagues at least once. It may be a bit ironic that mobile device management may have been part of your operational tech stack for twice as many years as it’s been in the corporate conversation.

Every month, it seems that a new “must use” tool hits the market. What ends up happening is IT teams are gifted a hodge-podge of tools — snowballing into unnecessary frustration and increased workloads.

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.

Resistance to change is always present, especially if you think the processes you have in place are efficient and effective. Many organizations feel this way about their software management procedures until they have a security breach or incident and are left wondering where they went wrong. The reality is that most patch management programs are built on assumptions and recommendations, rather than facts about actively exploited vulnerabilities. Risk-based patch management is the answer to this issue.

With over 236,000 total vulnerabilities currently known – and an average 61 new vulnerabilities added every day to the NVD – it’s impossible to remediate every single CVE or threat vector that appears. So, how do everyday organizations handle the continuously growing threats to their organization’s end users, customers and data – especially across an increasingly hybrid and remote Everywhere Workplace?

With remote work now commonplace, having a good cyber hygiene program is crucial for organizations who want to survive in today’s threat landscape. This includes promoting a culture of individual cybersecurity awareness and deploying the right security tools, which are both critical to the program’s success. Some of these tools include endpoint patching, endpoint detection and response (EDR) solutions and antivirus software.