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

IT Insider: Solving AI Accountability Crisis

This episode of Ivanti's "IT Insider" series that explores the critical challenges organizations face when moving from AI experimentation to full-scale deployment. The discussion centers on three main themes: The AI Governance Gap: Guests Brooke Johnson and Sterling Parker discuss the "governance gap" where organizations deploy AI faster than they can establish policies. They highlight the risks of Shadow AI (unsupervised AI use) and the importance of having an AI Governance Council to ensure responsible use.

How to Stop Cybersecurity's Biggest Blind Spots

Eliminate Blind Spots and Close Security Gaps with Autonomous Endpoint Management We dive deep into how Ivanti's Autonomous Endpoint Management (AEM) helps organizations gain complete visibility and stay ahead of evolving security threats. Learn how to: Discover Every Device: Eliminate "shadow IT" and blind spots by automatically finding every endpoint on your network. Automate Remediation: Close security gaps in real-time with AI-driven automation that patches and secures devices without manual intervention.

The Invisible IT Department: How to Deliver Friction-Free Experiences with Agentic AI

Every enterprise has bought AI, but many are still waiting for their investment to pay off. Ivanti’s 2026 AI Maturity Report found that only 2% of organizations say they currently have no AI use at all. As the majority of organizations move beyond the AI experimentation stage, the real competitive differentiator is if that AI is providing continuous, business value at scale.

Service Level Agreement (SLA) Templates: Examples, Metrics, and Best Practices

How quickly should your team resolve a critical ticket, and what are the consequences when it misses the target? That is exactly where Service Level Agreements (SLAs) come into play. An SLA turns service expectations into measurable commitments by defining clear response and resolution targets. Rather than starting from scratch, an SLA template provides a structured foundation for establishing those commitments and tracking performance against agreed standards. Why does that matter?

What Is Your Operating Model Costing Your Business?

The biggest cost in your business may not appear anywhere on your balance sheet because some of the most expensive problems are rarely measured directly. Lost productivity, recurring technology issues, underused applications, and the effort required to manage them all accumulate over time without ever appearing as a line item in a financial report.

9 Powerful Log Monitoring Best Practices to Follow in 2026

How many of your last five incidents were already sitting in the logs before anyone noticed? Most teams already collect more than enough log data. The problem starts with what happens next, and the same four gaps show up almost everywhere: This guide covers the log monitoring best practices that close those gaps. It walks through how to collect, structure, correlate, retain, and secure logs, so monitoring becomes a steady process and not a scramble during the next incident.

Shadow IT and Discovery AI Blind Spots: What Legacy Tools Miss

Ask three teams what assets exist in your environment, and you’ll get three different answers. Most organizations don’t lack tools. They lack agreement on what actually exists in their environment. Asset, endpoint and cloud data exist — but it’s fragmented, stale and trusted differently by teams across every department and function.

How to Choose the Right Server Monitoring Tool: A Step By Step Guide for 2026

How do you pick one server monitoring tool when every vendor page promises the same thing? A few years ago, two monitoring vendor websites showed you two different products. Today you can open five and read nearly the same feature list on each one. Real-time dashboards, instant alerts, AI everywhere. That sameness has made evaluation harder than ever. The marketing tells you nothing, and the wrong choice follows your team for years, either as features nobody opens or as the one missed alert at 2 a.m.

How Agentic AI is Transforming Infrastructure and Operations

Infrastructure and Operations (I&O) teams have long operated under a familiar paradox: the faster the business scales, the more pressure I&O absorbs. Every new application deployment, every endpoint added, and every cloud workload spun up generates more complexity, more risk and more tickets. The traditional responses to this pressure — more headcount, more tooling, more scripts, more APIs — have delivered incremental relief at best.