Agentic automation breaks a core assumption behind most governance: that a human is in the loop, moving at human speed, leaving a legible trail. At agent speed, governance needs two histories instead – what the agent did, and what happened to your data.
Join AI data technology leaders from MinIO and lakeFS for a conversation on what it takes to move autonomous agents from pilot to production, what that requires from your data infrastructure, and how enterprise teams in complex and regulated environments are building that foundation now.
Join this webinar and learn
- What changes when autonomous agents become a new type of data consumer, and why human-speed governance can’t keep up
- Why agent memory belongs on infrastructure you control, and how to keep every agent action governed and auditable at agent speed
- Where data governance is best implemented to deliver isolation, reproducibility, and guardrails at agent scale without slowing teams down
- The key elements of a reference architecture for agentic AI on enterprise data
- What the foundation looks like in practice, with a short live demo of governed agent workflows on MinIO AIStor and lakeFS
