Incident Timeline
Extracts structured information like timelines, actions, entities, and severity from unstructured incident response logs.
About
This tool transforms raw incident logs, particularly from chat-based communications like Slack or Discord, into organized, structured data. It's designed to help analyze incident communications by automatically identifying chronological events, categorized response actions, involved systems, and assessing incident severity. While a learning project, it demonstrates a practical application for leveraging AI in incident analysis, providing a clear overview of complex events.
Key Features
- Extracts chronological timeline events with timestamps and actors
- Identifies and categorizes response actions (investigation, remediation, communication, status)
- Extracts entities such as services, IP addresses, and domains involved
- Detects incident severity level with a confidence score and indicators
- Generates a comprehensive summary combining all extracted information
- 0 GitHub stars
Use Cases
- Analyzing chat-based incident communications to understand event flow
- Quickly assessing incident severity and key actions during or after an event
- Transforming unstructured incident logs into structured data for easier review
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