Agent Trust Hub for compliance teams

AI agents are accessing enterprise data: data that may be sensitive, subject to retention policies, under governance review, or tied to regulated workflows. For controls and compliance teams, the question has moved past whether to allow this. It's now whether there's enough visibility into what's happening, and whether the right controls are in place to enforce appropriate behavior.

Most AI governance programs start with documentation: use case inventories, risk registers, policy approvals. Those are necessary. They don't tell you what data an agent accessed in a given conversation, whether that data was classified, or whether an agent interacted with information that triggers a governance review.

Agent Trust Hub connects AI agent activity to the signals controls and compliance teams already rely on, without moving your data. Bigeye receives only metadata and aggregate signals. Agent conversation data stays in your environment.

What becomes visible when agents are connected:

• Usage and cost per agent and conversation. Which agents are running, who is using them, and what each conversation cost in tokens and credits.
• Conversation-to-data linkage. Every conversation resolves to the specific catalog assets it accessed, with lineage and ownership context attached. An agent stops being an opaque event log and becomes a connected node in the same lineage graph as the rest of your data estate.
• Trust flags at the conversation level. The Hub flags any conversation that read data with an open quality issue, and any conversation that touched sensitive or classified data. Because the linkage runs through Bigeye's existing catalog, flagging is automatic, connected to the same quality and classification signals already in place.
• Coverage gaps. When an agent accesses data that isn't yet tracked in Bigeye, the Hub flags it. Teams gain coverage where AI activity actually is, not just where monitoring was already in place.

Teams can move governance from documentation to operation. Instead of periodically auditing what agents might have accessed, they can see what agents actually did, and whether the data involved required a review, a flag, or an intervention.

Agent Trust Hub is designed to work alongside existing GRC platforms and data governance tools, not replace them. It provides the runtime visibility and controls that point-in-time audits can't: a live connection between agent behavior and the data trust signals that determine whether that behavior was safe, governed, and accountable.

Agent Trust Hub is available now with a 30-day free trial. If your team is navigating this, it's worth a look.