Cybersecurity has sometimes earned a reputation as the Department of No. Can we use this new tool? No. Can this vendor connect remotely? No. Can we use this cloud service? No. Except the business still has work to do. And if people can't get what they need through the approved process, some of them will find another way. Maybe someone buys a SaaS application on a credit card. Another team starts using an unapproved messaging platform. A spreadsheet quietly becomes part of a critical workflow. Someone automates a process with a tool IT doesn't know exists. Welcome to the Department of Shadow IT. From an operational survival perspective, this creates a problem we don't talk about enough: invisible dependencies. The systems inventory says one thing. The business may actually operate another way. Maybe the continuity plan still lists a manual workaround that disappeared years ago. Maybe a supposedly noncritical application feeds the spreadsheet someone needs every morning. Maybe an entire department now depends on a cloud service that never made it into the business impact analysis. Everything works fine—until something doesn't. Then somebody says: “Wait. We can't do that without ______.” 💬 Food for thought: What technology has your organization quietly become dependent on that might not appear in your official inventory, business impact analysis, or continuity plan?

Imagine you walk into work tomorrow morning and discover that the technology your organization depends on most is unavailable. Not compromised. Not slow. Unavailable. No one knows how long it will last. What's the first thing that worries you? Serving customers? Payroll? Communications? Production? Public safety? Regulatory obligations? Something else entirely? What immediately comes to mind? 👇 Share your answer in the comments.

Over the past year, AI has become part of many organizations' daily operations—writing, research, software development, customer service, data analysis, and decision support. For some teams, what started as a helpful productivity tool is becoming something they depend on to get work done. So what happens if your primary AI platform is unavailable tomorrow morning? Not because of a cyberattack. Not because of anything your organization did. The service is simply unavailable. Would work continue? Would deadlines slip? Would your team know what to do? AI is becoming another technology dependency that organizations need to understand and manage. That doesn't mean backing away from AI. The efficiency gains are real. But as more business processes begin to rely on it, it's worth knowing what happens when it isn't there. Which processes depend on it? How quickly would its loss affect operations? Is there an alternative? Could people continue the work another way? Those are questions worth answering while the technology is still working. 💬 Discussion If your organization's primary AI platform became unavailable for the next 24 hours with no warning, what business process would be impacted first? Would your team know how to continue?