Operations | Monitoring | ITSM | DevOps | Cloud

Every IT leader has felt this tension: your organization has invested in AI, automation and digital operations, and yet outcomes still fall short of expectations. Even with the right tools and intent, you won’t be able to fully realize the value of your AI investments if they’re built on an unsteady foundation.

Warehouse workers don’t think about whether their mobile interface runs on a browser. They’re focused on getting the job done. But for operations and IT teams evaluating or upgrading mobile technology in supply chain environments, platform choice matters more than most people realize. Consumer mobile browsers such as Safari, Edge and Chrome are useful tools designed for everyday web use. They help people search, shop, read, collaborate and access web applications from almost anywhere.

Your employees aren't trying to create compliance incidents by using AI tools. They're trying to finish their work faster. According to a 2026 BCG survey, 74% of frontline employees now use generative AI every day or a few times a week.

Apple Declarative Device Management (DDM) is now the standard for device management across Apple platforms. As part of this transition, Apple is retiring legacy software update controls in iOS 27, iPadOS 27, macOS Golden Gate, watchOS 27, visionOS 27, tvOS 27 and later releases. This is just one of several platform changes arriving this fall that could impact how your team manages and secures Apple devices. The good news?

Organizations today invest heavily in discovery tools, expecting that increased visibility will solve their IT challenges. Yet when an incident hits, a patch fails or an audit looms, many teams must pause to reconcile spreadsheets, validate inventories and confirm ownership before they can act. Visibility alone doesn’t close the gap between insight and execution.

Why do 40% of alerts received by security teams today go completely uninvestigated? It’s not due to a lack of concern but instead caused by shortening attack windows and compounded by overwhelming tech sprawl. Today’s security teams are operating in a threat landscape defined by escalating attacks, tighter budgets and mounting alert fatigue. Organizations process an average of 960 security alerts per day, and large enterprises handle more than 3,000 daily alerts across roughly 30 tools.

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.

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.

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.

Security teams are drowning in vulnerabilities. We’re talking tens of thousands of findings per quarter. Hundreds of thousands at larger organizations. Today's IT environments have no boundaries and span across every OS platform. Managing and securing that estate in a linear fashion is no longer viable, and neither is a vulnerability remediation process that treats every fix as a simple, low-impact task.