Airrived at GISEC Dubai revealed Agentic Observability, major expansion of its enterprise Agentic OS built to give organizations end-to-end visibility into how AI agents behave — from moment enterprise data enters platform, through agent reasoning and execution, to final business outcome.
Powered by Airrived's Context Lake, new capability traces enterprise data across full journey — from integration, to agent, to application, to outcome — revealing who built each AI agent, what it can access, what data it touches, and what it costs.
As enterprises race to deploy AI agents across operations, critical question surfacing faster than most organizations can answer it: who is watching agents?
Traditional application monitoring was designed to answer simple question: is software running? Agentic AI demands far more rigorous answers. Who created this agent? What can it access? What actions is it authorized to take? Which AI tools does it rely on? What data is flowing through it? Does human need to approve its decisions? And ultimately — what did it decide, and what did that decision cost?
Airrived Agentic Observability brings all answers into single control plane.
"Enterprises are moving from software that executes instructions to agents that reason, decide, and act," said Anurag Gurtu, Co-Founder and CEO of Airrived. "You cannot govern what you cannot see. Agentic Observability gives enterprises visibility from data, to decision, to action, to outcome."
Airrived delivers visibility across entire agentic lifecycle: Enterprise Integration → Context Lake → Agentic App → Agent → Action → Outcome
Organizations can trace data as it moves from enterprise integrations into Airrived's Context Lake, through agentic applications and individual agents, and ultimately to actions and outcomes those agents produce. Rather than simply confirming that agent executed, Airrived surfaces full environment surrounding execution.
Context Lake: Giving Agents Enterprise Context — At foundation of Airrived's Agentic OS is Context Lake, which brings together data and operational context from across enterprise systems. This allows Airrived to observe agents not as isolated AI processes, but in context of enterprise information they use and outcomes they produce.
Visibility Into Risk and Economics: Airrived also brings visibility to two dimensions of AI operations historically opaque: sensitive data exposure and AI economics. Organizations can track presence and movement of sensitive information — including PII, PCI, and PHI — across agentic workflows. At same time, token- and model-consumption tracking gives organizations clear read on cost of AI operations, turning previously opaque tokenomics into measurable AI FinOps.
"Agentic AI cannot become black box running inside enterprise," Gurtu added. "Every agent needs owner. Every action needs permission. Every sensitive data interaction needs visibility. Every dollar of AI consumption needs accountability."
About Airrived
Airrived is company behind enterprise Agentic OS designed to make every business user AI expert. Platform enables organizations to consume, build, deploy, govern, and operate AI agents and agentic applications across cybersecurity, IT, and enterprise operations. Supports enterprise AI deployments across on-premises, private infrastructure, and fully air-gapped environments.
