How It Works
Managing detection use cases across tools can be time-consuming and error-prone. With Uncoder AI, this process is fully streamlined. Users can instantly generate structured documentation for a rule or use case in Confluence—directly from within the Uncoder interface.
Once an integration with Confluence is set up (one-time action), the user selects the rule, provides a parent page, and clicks “Create Page.” The system automatically compiles all available intelligence, metadata, and detection code into a neatly structured Confluence page. No need for copying, pasting, or context switching.
Why It’s Innovative
Use case documentation is often an afterthought—especially in fast-paced SOC environments. This feature ensures that documentation is created as part of the detection engineering workflow itself. Instead of being a separate task, it becomes a natural, automated output.
This not only boosts operational consistency but also improves auditability, internal communication, and onboarding.
Operational Value
- Saves Time: Automates a manual and repetitive process, reducing the time needed for documentation.
- Structured Output: Ensures that every documented use case follows the same format—ideal for review and audits.
- Knowledge Centralization: Makes threat detection logic accessible across teams, not just engineers.
- Streamlined Confluence Workflow: Integrates with your existing wiki setup—no need to switch tabs or tools.
- Improves Collaboration: Bridges the gap between detection engineers, threat hunters, and business teams by aligning technical insights with process documentation.
Bringing structured intelligence and detection logic together in one place, Uncoder AI ensures that nothing gets lost in translation—from analyst thought to team-wide knowledge.
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