How It Works
Uncoder AI’s on-the-fly customization capability enables security teams to instantly adapt rules and queries to their specific environment using Customization Profiles. The screenshot showcases how analysts can:
- Choose Custom Field Mappings to tailor table names, index structures, and field naming conventions, ensuring compatibility with internal data schemas.
- Apply presetsto instantly change parameters like thresholds, severity levels, and frequency logic.
- Leverage filtersto introduce rule exceptions or suppress known benign activity.
All this happens inline during the translation process—no need for manual post-processing.
Why It’s Innovative
This feature bridges the long-standing gap between generic community rules and production-ready deployments. Instead of rewriting or manually editing detection logic for each platform or environment:
Variables can be modularized and reused.
- Rule logic becomes environment-aware without impacting upstream standardization.
- Teams reduce time-to-value by deploying content faster and with fewer errors.
- This innovation significantly enhances the interoperability and maintainability of security content at scale.
Operational Value
- Faster Deployment: Tailored rules can be deployed instantly to fit diverse environments.
- Reduced Manual Work: Eliminates the need for repeated rule editing across tools and teams.
- Fewer False Positives: Adds field-level control to suppress noisy detections without breaking rule logic.
- Alignment with Internal Risk Models: Enables SOC teams to mirror internal threat models and escalation workflows directly within detection content.
Rule customization in Uncoder AI transforms generic detection logic into high-fidelity, context-aware alerts with minimal friction—bringing agility to detection engineering.
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