There is a tension in the AI landscape today. Teams are under pressure to adopt AI quickly as they pursue innovation. But what looks like innovation on the surface could actually be a crisis waiting to happen. When different teams use different AI models for different reasons, it’s known as “shadow AI.” And the problem with shadow AI is that it makes organization-wide security and governance policies impossible. The result? Inconsistent outcomes, data leaks, and out-of-control costs that erode the business value of AI.

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