command + clickto see the underlying Panther content.
CODEOWNERSand start a new git repository:
make install make test
panther_config. The library of data classes in Python represents various entities you can have in your Panther instance.
detectionis the name of the module you can use to create a detection. After you define your detection and upload the content, the detection will be created. In other words, each
detection.Rule()will create a rule in the backend.
PythonFilterto associate them with various detections.
panther-utils- which includes things such as
deep_equalas well as some commonly used tags in detection content - add it to your Python requirements and import as you would any other Python library.
panther_oktacontent). You can quickly import all the content from Panther by using a helper:
panther_analysis_tool, you’ll be able to reference them in the Panther Console.