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Extract Multiple Observables with AI Task - Workflow Template

Use AI Task operator to extract multiple types of observables from a raw text.

Updated this week

This Torq workflow template, "Extract Multiple Observables with AI Task," is designed for streamlined case management and threat hunting. It provides a robust solution that uses AI to efficiently extract and classify various types of observables from raw text input, adhering to the Open Cybersecurity Schema Framework (OCSF). The extracted data is neatly presented in either a grouped or listed format, simplifying the integration of this intelligence into cybersecurity cases or threat analysis processes.

Use Cases

Case Management , Threat Hunting

Workflow Breakdown

  1. Select either a grouped or listed output.

  2. The AI Task operator will extract and classify observables based on the OCSF schema.

Vendors

Workflow Output

Observables extracted and classified into a grouped or listed format.

Tips

  • Iterate over the listed output to append each observable to a case.

  • Use Type and Sub-Type values to populate observable parameters.

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