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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.

What keeps you up at night

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.

What you get with Tokto

How it works

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.

What goes wrong without it

In October 2025, the CamoLeak vulnerability (CVE-2025-59145, CVSS 9.6) was disclosed in GitHub Copilot Chat. Hidden markdown comments in pull requests bypassed Copilot Chat into rendering attacker payloads via GitHub's signed Camo image proxy, silently exfiltrating private source code, API keys, and secrets. GitHub had quietly patched it in August.

See how Tokto makes enterprise AI visible, governed, and accountable for Teams in SaaS.

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