Agentic Detection Creation: From Sigma to Splunk Rules (or any platform)

Source: Cybersecurity on Medium

Author: Burak Karaduman

URL: https://detect.fyi/agentic-detection-creation-from-sigma-to-splunk-rules-or-any-platform-4697e13d9ee3

https://detect.fyi/agentic-detection-creation-from-sigma-to-splunk-rules-or-any-platform-4697e13d9ee3

ONE SENTENCE SUMMARY:

The architecture orchestrates AI agents in a modular pipeline to efficiently create, validate, and report detection rules.

MAIN POINTS:

1. The workflow starts with a chat command to generate a detection rule.
2. A Detection Developer Agent creates Sigma rules with environment-specific adaptations and metadata.
3. Reviewer Agent checks Sigma for logical flow, MITRE accuracy, and organizational standards.
4. Approved Sigma rules convert into SIEM queries using platforms like sigconverter.io.
5. Sigma’s structure aids accuracy and clarity before SIEM conversion.
6. Conversion supports multiple query languages like Cortex XDR and Elastic.
7. Validation Agent verifies queries are operational and consistent with syntax checks.
8. Automated Reporting compiles entire processes into accessible formats.
9. Large Language Models perform better with Sigma than direct SIEM outputs.
10. Reports are shared via systems like Microsoft Teams and email.

TAKEAWAYS:

1. Sigma provides structured, vendor-neutral rules for reliable detection.
2. AI agents enhance efficiency in rule creation and validation.
3. The pipeline supports a variety of SIEM query languages.
4. Modular architecture offers flexibility and portability.
5. Comprehensive reporting ensures transparency and accessibility.