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Authoring detections

Each detection you create occupies a directory under the detections/ directory in your Matano directory.

A detection directory has the following structure:

├── detections
│ └── my_detection
│ ├──
│ ├── requirements.txt
│ └── detection.yml

Detection script

Detection scripts are Python programs containing the logic of your detection. To create a detection script, create a file called in your detection directory.

Inside the detection script, you define the following functions:

The detect function is the python function that is invoked for your detection. The function will be invoked with a data record.

The function has the following signature:

def detect(record) -> bool | None:

Returning values from your detection

Your detect function must return a boolean True to signal an alert. A return value of False or None will be interpreted as no alert for detection on that record.

Deduping alerts

You can dedupe alerts using a dedupe string.

Detection configuration file (detection.yml)

Each detection requires a configuration file named detection.yml. The file has the following structure:

name: "my_detection" # The name of the detection
log_sources: # An array of log sources for which to run the detection
- "main-cloudtrail-logs"
- "my-zeek-logs"

Python requirements

You can add a requirements.txt file to the detection directory to make PyPI dependencies available to your detection program. The listed dependencies will be installed and made available to your program.