Author: Kevin

Your AI didn’t hack anything. It didn’t bypass authentication. It didn’t exploit a vulnerability. It didn’t steal credentials. Every permission check succeeded. And somehow it still showed someone information they probably shouldn’t have seen. Welcome to one of the more interesting problems with production AI. Because sometimes the biggest AI security problem isn’t that your…

Eventually, your AI is going to be wrong. Not necessarily because it hallucinated. Not necessarily because the model failed. It might have used stale data. It might have retrieved the wrong document. It might have followed an outdated business rule. It might have encountered conflicting definitions. It might have correctly interpreted information that was simply…

Your AI pilot had beautiful data. Of course it did. Someone picked the right tables. Someone selected the right columns. Someone cleaned up the duplicates. Someone explained what the important fields meant. Someone made sure the demo questions had enough context to produce useful answers. And then the AI worked. Wonderful. Now connect it to…

Congratulations. Your AI pilot worked. The demo went beautifully. The executives asked questions. The AI produced impressive answers. Someone nodded approvingly. Someone else started talking about how quickly this could be rolled out across the organization. Maybe somebody even used the word transformational. Wonderful. Now give it to actual users and see what happens. Because building…

Throughout this series, we’ve talked about becoming ready for AI. We’ve talked about all kinds of things: That wasn’t an accident. Because after all the conversations about models, agents, copilots, platforms, and automation, I keep coming back to the same conclusion: Your biggest AI advantage may have nothing to do with AI. It may simply…

When organizations decide to “do AI,” something interesting often happens. A steering committee is formed. Budgets are approved. Vendors are invited. Technology teams are assigned. And somewhere along the way, AI quietly becomes an IT project. That may be one of the biggest mistakes an organization can make. Because AI doesn’t transform technology. It transforms…

Throughout this series, we’ve talked a whole lot about what prevents organizations from becoming AI-ready. If you’ve recognized some of those challenges in your own environment, you might be wondering: “So… what does an AI-ready data platform actually look like?” It probably looks a lot less futuristic than you expect. In fact, many of the…

Every organization wants trustworthy AI. Reliable answers. Consistent recommendations. Confident decisions. But there’s a question that often gets overlooked: Who owns the information the AI is learning from? That sounds simple. In practice, it’s one of the most difficult questions in modern data environments. Because many organizations have invested heavily in technology while leaving ownership…

For years, metadata was treated like documentation. Important. Useful. Occasionally referenced. Frequently ignored. Most organizations viewed metadata as something that helped humans understand systems after they were built. A data dictionary. A wiki page. A lineage diagram. A catalog entry. Helpful, but rarely essential to day-to-day operations. That assumption is starting to break. Because AI…