Data Transports
Panther integrates with various common data transport log ingestion sources
A Data Transport is a type of log source that is used to send log types that are not natively supported by Panther. Data Transports aim to successfully process custom data types through Panther’s log processing pipeline, map existing detections to custom data types, and map data models to custom data types. In addition to using a Data Transport to onboard your custom logs, you'll need to create a custom schema to normalize and classify the data.
Panther currently supports the following Data Transport methods:
The following Data Transport mechanisms support ingesting compressed data (according to one of the below algorithms):
Panther will transparently decompress compressed data, meaning no extra headers are required. Panther's decompression works by first determining the compression algorithm each file was compressed with. This is not inferred from the file extension or metadata, but rather the content of the file itself.
The inner data of a compressed payload must match the stream type you've configured for your Data Transport source.
Panther supports the following compression formats:
Visit the Panther Knowledge Base to view articles about data transports that answer frequently asked questions and help you resolve common errors and issues.
Last modified 4d ago