Airrived's Agentic Observability ties data flow, permissions, approvals, and per decision cost to each autonomous decision. The category question outruns the launch.
Traditional software monitoring answers a simple question: is the software running? Enterprises running autonomous AI agents need a different one: who decided what, on whose data, with whose approval, and at what cost.
Airrived, an enterprise AI governance vendor, launched Agentic Observability on 15 September 2026 as an expansion of its Agentic OS. The product targets enterprises running autonomous agents at scale and folds four controls into a single plane: data-flow tracking, ownership and permission checks, human-approval gates, and token and cost accounting.
The connective layer is what Airrived calls its Context Lake, which links agent reasoning to the data each decision touched and to downstream events such as security alerts or root-cause findings. Sensitive-data tracking covers PII, payment card data, and PHI.
"Enterprises are moving from software that executes instructions to agents that reason, decide, and act," CEO Anurag Gurtu said, announcing the launch on 14 September. Airrived emerged from stealth in February 2026 with a seed round led by Cannage Capital.
Independent adoption, analyst validation, and a named customer do not appear in the available reporting. The next test is whether traditional APM vendors or LLM-tracing tools such as Langfuse, LangSmith, and Arize build a comparable control plane.