Data lineage becomes new AI security perimeter
enterprises need data lineage to manage ai governance, accountability, and trust as agentic ai scales.
as enterprises adopt agentic ai, they face challenges in managing data that is continuously ingested, copied, summarized, transformed, reused, and redistributed. traditional security approaches built around applications, systems, networks, or endpoints are no longer sufficient. data lineage is necessary to understand how data moves and to establish governance, accountability, and trust across human, agentic, and hybrid workflows. this is crucial for securing agentic ai at scale.