Use Case — Enterprise

AI observability that satisfies security, legal, and audit — not just engineering.

Enterprise AI deployments need access control, audit trails, data governance, and compliance tooling. Here's what Zespan looks like when those requirements are non-negotiable.

Start free →For Enterprise buyers with security, compliance, and governance requirements

The problem

01

No access control across projects

Multiple teams share AI infrastructure. Any engineer can see any project's traces, prompts, and cost data — including sensitive customer conversations.

02

No audit trail for AI changes

Compliance requires documentation of every prompt change, guardrail modification, and billing action. You don't have that trail. Auditors will ask.

03

No proof that outputs are monitored

Legal and security want assurance that AI outputs are actively monitored and controlled. You have logging — not governance.

How Zespan helps

1

Access rides on identity you already manage, not a separate password to lose track of

SSO through your existing identity provider means access to a system that touches customer conversations and prompts isn't one more login your security team has to separately audit and offboard.

2

What a person can change is scoped to what their role should allow, enforced on the server

A viewer can see dashboards and traces. Only an admin can promote a prompt to production or change a guardrail. That's checked on every API route, not just hidden in the UI — so it's a real control, not a suggestion a determined engineer can route around.

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Zespan team management showing role assignment with permission scope per role
3

Every guardrail action is evidence, not just a live control

A PII or toxicity rule doesn't just block or redact in the moment — every execution and every config change is logged with who changed what. When a security review asks whether AI outputs are actively monitored, this is the answer, not a promise.

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Zespan guardrail config with execution logs and audit trail entries visible
4

Every sensitive action traces to a specific person, exportable on request

SSO changes, prompt promotions, guardrail edits, billing events, team changes — each one attributed to an actor, an IP, and a timestamp. An auditor asking who changed what gets a log to hand over, not a reconstruction project.

5

A data subject request is a tracked process, not a manual scramble

A GDPR erasure or access request is queued with a tracked deadline the moment it's filed, duplicate requests are caught automatically, and status is queryable at any point — your DPO gets a documented process instead of a spreadsheet someone maintains by hand.

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Zespan alerts and incidents view showing compliance monitoring and active incident count

Start free — 50K traces/month, no card needed

See every agent decision, tool call, and handoff in production. Setup takes a few minutes.

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