Operations | Monitoring | ITSM | DevOps | Cloud

When something breaks on a large network, the alerts arrive from every direction. Routers, firewalls, cloud gateways, and applications each report their own symptoms. The evidence that explains the incident is scattered across anomalies, configuration changes, topology, and past incidents, and an engineer has to piece it together by hand. Loom is the correlation and root cause agent in Selector Foundry, the agentic NetOps platform built on Selector’s existing AIOps and Observability platform.

The debate is no longer whether AI belongs in ITOps; it’s about how quickly it can be implemented, how to measure it, and who’s accountable when it acts. And although IT leaders across industries are scrambling to integrate agentic AI into their operations, those deployments are facing serious challenges. A new Harris Poll survey of more than 300 U.S. data and AI decision-makers puts a number on the problem.

Every network team keeps a dashboard backlog. A war room needs a view of one incident. A service owner wants path health for a single application. An executive review needs business impact on one page. Each request becomes a ticket for the tooling team, and the view often arrives after the moment that needed it has passed. Artist is the dashboard agent in Selector Foundry, the agentic NetOps platform built on Selector Analytics.

On August 17, Gartner placed BigPanda in the Niche Players quadrant of the 2026 Gartner Magic Quadrant for AI Applications in IT Service Management (ITSM). It’s our first time on this MQ, after an honorable mention last year. I’m glad we’re there, and I want to explain why a company that doesn’t sell an ITSM platform reads that as a strong result.

It’s 2:14 am, and checkout latency at your largest retail store has tripled. Your observability platform’s agent has already posted to Slack that there is a connection pool exhaustion on the orders database, with a link to the trace. Your cloud provider’s agent reports a degraded network path in one availability zone. The AI SRE tool one of your product teams adopted last spring points to a deploy that went out at 1:50.

Last updated: Oct. 15, 2026 IT environments change constantly. The challenge is making those changes without creating unnecessary risk, outages, or delays. IT change management, called Change Enablement in ITIL 4, helps teams assess, authorize, implement, validate, and learn from changes that could affect an IT service. The goal is not to slow delivery. It is to improve change success while reducing disruption, recovery time, compliance risk, and impact on critical business services.

✓ operational truth Operational risk is no longer limited by the ability to find vulnerabilities. It is limited by the ability to prioritize them by business exposure and to act on the large share that cannot be patched at all. Autonomous IT changes this by mapping findings to applications and owners, automating the work around the patch, and proposing evidenced mitigations where no patch exists.