AI in the product is now part of the record your team has to keep.
Tokto records every prompt your engineering, support, and product teams run, every model output that touches a tenant, ready for the team lead, the GC, the customer CISO, and the SOC 2 auditor.
Your team ships a new AI agent into the product this sprint. The team lead asks who validated it, the GC asks about tenant isolation, the customer's CISO asks for the audit trail. No one has a single answer that matches.
- Every prompt tied to a tenant, a user, an API token, a model version, and a feature flag.
- A single record that the team lead, the GC, and the customer CISO can read against the same evidence.
- Policy applied before tokens leave the boundary: no agent egress, no PR ingestion, no untrusted markdown without review.
- AI used at the speed of the release with the record the platform needs.
- A new AI feature ships across tenants before anyone notices. The customer CISO finds it first.
- A zero-click prompt-injection bypasses the agent. Secrets exfiltrate before anyone reads the log.
- An embedded agent retains tenant data past the contract. There is no deletion record to produce.
- A feature's AI cost runs over by 10x in a sprint. Nobody can say where it went.
Tokto sits inside every AI conversation in the product. The embedded agent, the support co-pilot, the model-summary endpoint — all become tenant-scoped records at the moment of use. The record carries the tenant, the user, the model, and the policy that applied. Practitioners get the speed; the platform gets the trail.
When the team lead asks who shipped what, when the GC asks about tenant isolation, when a customer's CISO asks for the audit trail, the answer is one query. The team ships AI; the platform keeps the record the customer audit needs.