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The latest News and Information on IT Service Management, Service Desk and related technologies.

Only 1 in 4 Employees Follow AI Policy: How to Fix It

AI is more than just a tool—it's a transformative experience for the modern workforce. But as employees "run fast" to adopt AI, a critical gap is forming between innovation and safety. In this video, Brooke Johnson, Ivanti’s Chief Legal Counsel and SVP of People and Security, discusses the "natural tension" between AI excitement and the necessity for responsible, secure implementation. With only 25% of employees reporting consistent policy adherence, the risk of "Shadow AI"—unsupervised tool use—has never been higher.

The New AI Mandate: Smarter Usage, Lower AI Compliance Risk, Better Outcomes

For the last two years, enterprise AI strategy has largely revolved around one message: use AI as much as possible. CIOs encouraged experimentation, CFOs approved budgets, and organizations pushed employees to adopt tools like ChatGPT, Claude, Copilot, and Gemini in the hope that productivity gains would naturally follow. The prevailing assumption was that simply increasing usage would accelerate innovation and unlock efficiency across the organization. But the enterprise conversation is changing quickly.

10 Best IT Operations Management Tools (ITOM) Compared for 2026

No IT team sets out to run ten monitoring tools. It happens one purchase at a time. You add a network monitor after one outage, a server monitoring tool after the next, then a log analyzer, then an APM product when the app team gets tired of guessing. Then something breaks, and every one of those tools has an opinion. Each fires its own alerts. None of them agrees on the cause, and the first hour of the incident goes to deciding which screen to believe.

9 Best Log File Analysis Tools for IT and DevOps Teams

An incident is open and the evidence is scattered. The application logs point to a connection timeout; the load balancer shows nothing unusual, and the container that produced the original error was replaced eighteen minutes ago. Three engineers are logged into three separate hosts running the same search, and the log line that would explain it has already rotated away. That is the moment most teams start shopping for a log file analysis platform.

Eliminating Digital Friction with Nexthink Spark Episode 1: Fixing UI Slowness

Slow, unresponsive applications create digital friction that impacts employee productivity and generates unnecessary IT tickets. In Episode 1 of Eliminating Digital Friction with Nexthink Spark, see how Spark identifies UI slowness, pinpoints the root cause, and helps IT resolve issues faster.
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How Collective IQ Turns Reactive IT into Truly Proactive IT

Most IT organizations still operate in "firefighting" mode: an employee opens a ticket, the service desk investigates, depending on severity and complexity multiple teams or people are involved to diagnose, and then the appropriate person or team fixes the issue. The whole process then repeats for the next reported incident. This model doesn't scale, drains time and budget, and leaves a huge number of issues unresolved because many employees simply don't bother to report them. And, if and when they do report them, it's too late, the problem has already impacted their productive work.

Patching Alone Can't Keep Pace with Mythos. These 6 Nexthink Library Packs Can.

Most vulnerability programs were built around a known list of CVEs, scanned periodically and scored by severity. The Anthropic’s Claude Mythos era breaks that model, because the vulnerabilities that matter most are often undisclosed, unscored, and absent from any feed. The organizations that close the gap will be the ones that treat real-time exposure and remediation velocity as the core capability, not the patch backlog.

How Claude Mythos Changes the Future of Vulnerability Management: Fixing, Not Finding

Anthropic’s Claude Mythos shows how AI is making vulnerability discovery nearly infinite. Endpoint remediation is where IT teams win or lose. In April 2026, Anthropic introduced Claude Mythos Preview, an AI model that autonomously discovered thousands of previously unknown vulnerabilities across every major operating system and web browser. By late May, the running total had passed 23,000 potential findings, and the vast majority were still unpatched.