AI-Driven Detection Test Automation
PythonTinesCI/CDAI EngineeringPrompt Engineering
High-level breakdown:
Detection YAML used as the source of truth for test generation.
AI models prompted with strict, deterministic instructions to generate structured test cases.
Generated tests validated for format and consistency before execution.
Tests executed automatically within CI pipelines against detection logic.
Failures block promotion of detections, preventing regressions.
Prompt engineering and guardrails ensure repeatable, non-creative output suitable for automation.