When developing a new YARA-L rule while minimizing impact on production, what workflow is recommended?

• A. Develop the rule logic in the UDM search, review the search output to inform changes to filters and logic, and copy the rule into the Rules Editor
• B. Use Gemini in Google SecOps to develop the rule by providing a description of the parameters and conditions, and transfer the rule into the Rules Editor
• C. Develop the rule in the Rules Editor, define the sections of the rule logic, and test the rule using the test rule feature
• D. Develop the rule in the Rules Editor, define the sections of the rule logic, and test the rule by setting it to live but not alerting. Run a YA

Answer: (A)

Developing a new YARA-L rule with minimal production impact hinges on validating the rule against real data in a safe, non-alerting environment before enabling production alerts. The best approach is to build and test the rule logic in the UDM search, then review the results to fine-tune filters and conditions. This lets you see how the rule would behave on actual data without triggering alerts, catching logical or filter issues early. Once you’re confident in the behavior, copy the rule into the Rules Editor for production deployment, where it can be managed and monitored properly. This workflow avoids producing noisy alerts or data churn while you’re still shaping the rule, and ensures a reliable, validated rule when it goes live. Other options tend to skip this validation in a sandboxed data view or push development straight into production tooling, increasing the risk of false positives or missed detections.