# What is Artificial Intelligence for IT Operations (AIOps)?

> Artificial intelligence for IT operations (AIOps) is a market term for applying machine learning and other AI techniques to information-technology operations data and workflows.

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## Content

Typical uses include event grouping, anomaly detection, dependency inference, capacity forecasting, probable-cause suggestions, ticket enrichment, and recommended or automated remediation. The label does not define a standard architecture, model quality, autonomy level, or security capability.

An AIOps workflow may combine metrics, logs, traces, topology, changes, incidents, service records, and user experience data. Its output should enter established service-management and engineering processes with named owners, verification, access controls, change governance, and feedback from outcomes rather than bypassing them.

### Key points

- **Define the operational goal:** Tie each use case to a measurable service outcome, known data sources, acceptable error cost, response authority, and comparison baseline.
- **Engineer trustworthy inputs:** Maintain telemetry coverage, timestamps, service ownership, dependency maps, change context, retention, privacy controls, and protection against missing or manipulated data.
- **Control action:** Separate observation, recommendation, approval, and execution; constrain automation by service criticality; preserve logs; and test rollback, degraded operation, and escalation.
- **Important limitation:** Correlation or generated explanation does not establish root cause. Drift, topology gaps, shared failures, biased incident history, adversarial inputs, or feedback loops can produce confident but harmful recommendations and automation.

### Related terms

[Security telemetry](<https://yellowcube.eu/glossary/security-telemetry/>) · [Network monitoring](<https://yellowcube.eu/glossary/network-monitoring/>) · [Incident response (IR)](<https://yellowcube.eu/glossary/incident-response/>) · [Network automation](<https://yellowcube.eu/glossary/network-automation/>) · [Security operations (SecOps)](<https://yellowcube.eu/glossary/security-operations/>)

### Sources

[ISO/IEC 20000-1:2018, Service Management System Requirements](https://www.iso.org/standard/70636.html) · [NIST, AI Risk Management Framework](https://www.nist.gov/itl/ai-risk-management-framework) · [Gartner, AIOps (Artificial Intelligence for IT Operations)](https://www.gartner.com/en/information-technology/glossary/aiops-artificial-intelligence-operations)

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