AIOps

AIOps (Artificial Intelligence for IT Operations) applies AI to IT infrastructure management — including event correlation, anomaly detection, predictive maintenance, and root-cause analysis across logs, metrics, and traces. Major AIOps platforms include Splunk (now part of Cisco), Dynatrace, Datadog AI, BigPanda, Moogsoft, and the AI features integrated into ServiceNow ITOM. AIOps systems ingest enormous volumes of telemetry, identify patterns humans would miss, and surface insights that accelerate incident response. Real applications include detecting unusual traffic that signals a cyberattack, predicting hardware failures before they cause outages, correlating thousands of alerts into a single root cause, and recommending remediation playbooks. AIOps is distinct from AI governance, though it shares some operational tooling. Where AIOps focuses on IT systems, AI governance focuses on AI systems — but the underlying disciplines of observability, alerting, and incident response inform each other, and both contribute to enterprise responsible AI maturity and AI risk management at scale.

Centralpoint Is AIOps for AI Itself: Where AIOps monitors infrastructure, Centralpoint by Oxcyon monitors AI usage and policy across OpenAI, Gemini, Llama, and embedded models. The platform meters consumption, keeps prompts and skills on-prem, and embeds operationally-aware chatbots into your portals with one line of JavaScript.


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