For years, enterprise data access was built around a simple assumption: the requester was human. That world is changing fast. AI agents are moving from copilots to active participants in enterprise workflows. They don’t just retrieve answers, they search for data, plan how to answer questions, adapt when they hit...
The rapid rise of AI agents, autonomous software entities capable of reasoning, planning, and executing complex tasks, has created a fundamental paradigm shift in how we interact with data. We have moved from a world of static interaction, where known users followed rigid application paths, to a generative world where...
For years, enterprise access governance was designed around a simple assumption: people request data. A user submits a ticket. Someone reviews it. Access is granted or denied. The process might take hours, days, or even weeks. Even before AI agents, many organizations already considered this workflow slow and frustrating, but...
In the early days of data engineering, access was predictable. A handful of power users—engineers and analysts—pre-calculated dashboards for the masses. The permutations of “who can see what data” were limited, static, and typically managed ahead of time. Then came the “Chat with your Data” revolution. Today, LLM agents have...