Continuous audit in production.
Autonomous agents score your traces continuously, tied to the regulations that matter. Non-invasive.
Once AI ships, it drifts. Silently.
- A chatbot leaks PII today it didn't yesterday
- A RAG cites a policy that doesn't exist
- An agent steps out of scope and you only see it in Slack
You learn from a customer ticket, not from your stack.
Your observability stack tells you the API is up.
- It doesn't check hallucinations
- It doesn't check PII leaks
- It doesn't check regulatory drift
Uptime isn't compliance.
Mankinds turns production observability into continuous audit, tied to the regulations that matter.
From trace to alert. Without leaving your stack.
Three steps. Your infrastructure stays yours.
Plug in
Datadog, Langfuse, MLflow, or whatever you use. The agent reads from your stack, doesn't replace it.
Watch
The agent samples traces, scores them cross-dimension, against the same criteria as your offline evaluations.
Alert
Drift, hallucinations and PII leaks land on Slack, Teams or email, with the exact trace and regulation article attached.
Your stack. Not ours.
Non-invasive by design.
The agent reads traces from your observability stack. Never rewrites, never intercepts, never sits in the request path.
Same criteria as offline.
Production scores use the same 80+ criteria as your pre-deployment evaluations. Zero drift between dev and prod.
Your traces, your tenant.
Traces never leave your infrastructure. On-prem and air-gapped deployment available on Enterprise.
Sits on top of your observability stack
You keep your tools. We add the trust layer on top.
Custom connectors available on the Enterprise plan.
Monitoring is where proof holds.
Every drift, every regression, every alert connects back to the regulations mapped in Risk Assessment and the criteria scored in Evaluation.
Ready to sleep through production?
Book a demo. See how Mankinds turns production observability into continuous audit, without touching your stack.