Alert Correlation

Use AI to correlate IT alerts, reduce noise, and speed up incident resolution.

Business impact

• Incident reduction — AI groups related alerts, decreasing total incident count by filtering noise
• Operational cost savings — Fewer incidents and manual interventions lower overall IT operational expenses
• NOC hours saved — Automation reduces manual alert handling, freeing Network Operations Center staff time
• Mean time to resolution (MTTR) — Faster alert correlation accelerates incident diagnosis and resolution speed

Data requirements

• Telemetry and monitoring logs (Text) — Provide real-time alert data for AI to analyze and correlate
• Incident and alert history (Structured) — Historical data used to train models on alert patterns and correlations
• Knowledge base and runbooks (Text) — Support AI in root cause analysis and recommended actions

AI methods and techniques

• Predictive AI — Used to identify patterns and predict related alerts for grouping
• Agentic AI — Automates alert triage and incident grouping with minimal human input

AI models and model families

GrokStream AIOps platform, GPT-4, Custom machine learning models

Industries

Real-world evidence

1 documented case study on record.

Companies using this: Global Managed Service Provider.