Log Analysis

System and application logs are analyzed by AI agents to detect anomalies and automate alert triage.

Business impact

• Incident response time — AI reduces time to detect and respond to security incidents by automating log triage
• Security incident detection accuracy — Enhanced analysis of logs improves identification of true security threats and anomalies

Data requirements

• System and application logs (Text) — Provide raw event data for AI to analyze user behavior and detect anomalies
• Security alerts and event timelines (Structured) — Contextualize incidents and support AI in building triage plans and activity sequences

AI methods and techniques

• Agentic AI — AI agents autonomously search, analyze, and triage alerts to assist human responders
• Predictive AI — Predict potential security incidents by identifying anomalous patterns in log data

AI models and model families

GPT-4o, Claude, Llama

Industries

Real-world evidence

1 documented case study on record.

Companies using this: Thoughtworks Managed Services.