The deal is simple: Give us a treat, or there might be a trick. Of course, these days, we’re mostly there for the treat: A chocolate bar, a handful of candy or, if you picked the right house, a full-size one. The possibility of a trick adds to the fun, even though most of us expect a treat. If only enterprise data worked the same way. A recovery that doesn’t recover. Sensitive data where you didn’t expect it. Security tools that add complexity. AI built on data you can’t confidently trust. Nobody wants surprises in these areas. So, this Halloween, let’s knock on five doors to uncover common data tricks and the treats that can help you avoid them. Read more

Ask most IT teams where their data lives and you'll get a confident answer about production. Ask where every backup, backup copy, and replica lives, and the answer gets a lot less certain. Read more

AI adoption has moved fast. In Veeam’s Data & AI Trust Maturity Model research study, 95% of organizations say they’ve already deployed AI in their environment. The data and operational foundations to support that adoption haven’t kept pace. More than half of respondents scaled back at least one AI initiative in the past 18 months. That’s the gap between deploying AI and having the foundation to sustain it. Read more

You know this story well. An IT admin gets asked where sensitive data lives across SharePoint and Teams. A compliance team scrambles before an audit. A Copilot rollout stalls because nobody can answer what the agent can actually see. And after an AI agent touches files overnight, there’s no clean way to undo exactly what changed. Read more

A Practical Enterprise Guide to Governing, Securing, and Recovering AI at Scale Read more