Securing Data in the AI era

Data has always been critical to the business. In the AI era, it has become something more: the foundation for how AI applications learn, reason, and act. AI systems use it as context, retrieve it to answer questions, and increasingly act on it. As AI adoption accelerates, more applications and identities are connecting to sensitive data, including AI systems that can access, retrieve, and surface that data in ways that weren’t possible before. For security teams, the challenge isn't simply more data to protect. AI is reshaping how data is accessed, used, and exposed, and with it, what organizations need to understand to secure it. Data that appears appropriately protected in isolation may take on very different risks when an AI agent can access it, act on it, or expose it through an unexpected path. The fundamental mission of data security hasn't changed: know where sensitive data is, understand who and what can access it, and reduce its exposure. But in the AI era, answering those questions requires a much larger and more connected picture, and a different kind of context Securing data for the AI era starts with understanding that expanded responsibility. The fundamental questions of…