Developer and AI Agent Workflows
Use CTI Butler as a structured CTI retrieval layer for internal tools, automations, and AI agents.
Overview
This use case is for developers and security teams building internal tooling, automations, or AI agent workflows that need grounded CTI retrieval.
CTI Butler provides a practical way to query structured CTI context instead of relying on ad hoc scraping, manual lookups, or token-heavy rediscovery.
What This Workflow Looks Like
- Query CTI Butler through REST or TAXII
- Retrieve the framework objects and context needed by the workflow
- Reuse structured outputs in internal applications, automations, or agent orchestration
Why CTI Butler Fits
CTI Butler is designed around interoperable access paths and structured outputs.
That makes it a good retrieval layer for systems that need consistent CTI answers with less ambiguity.
Example Outputs
- AI assistants that can ground ATT&CK and related framework lookups
- Internal enrichment or recommendation services
- Workflow automation that reuses CTI Butler outputs in downstream tools
