Vervain is a local data and action control layer for AI agents. It maps where agent context and derived data persist, then produces bounded evidence of what a revocation or deletion actually reached.
Your identity and authorization systems decide whether an agent may read a customer record. They do not show where that record and its derivatives went afterward. A single agent turn can leave copies in a context window, a cache, a vector index, a tool result, a log line, and a checkpoint, each with its own lifetime.
So when a customer asks you to delete their data, or a tenant boundary is questioned, the honest answer today is usually an estimate.
Vervain instruments the second row: where the data landed, how long it stayed, and what a delete request actually reached.
Vervain runs inside your environment, on the same infrastructure as the stack it governs.
For teams running multi-tenant agent systems. Can you show today that one tenant's data has never appeared in another tenant's context? We instrument your stack, trace real requests, and report what we found and where we could not see.
You get a written map of the persistence points we reached, the specific requests behind any cross-tenant path we observed, and an explicit list of the surfaces the assessment did not cover.
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