Panther Security Data Lake by Panther is a cloud-native platform designed to provide unparalleled performance, visibility, and scalability for security data management. It transforms unstructured data into a structured, normalized, and enriched format at ingestion, enabling seamless search and correlation of data to events. Panther Security Data Lake supports extensive data ingestion and retention, allowing full visibility at a reasonable cost. It separates storage from compute, ensuring that data is queryable on-demand for investigations, threat-hunting, and ad hoc analysis. The platform includes features such as data encryption, compression, governed policies and rules, data-masking, and automated JSON parsing. Panther Security Data Lake is designed to handle large volumes of security logs, offering normalization, real-time analysis, and a scalable data warehouse for storage and querying. It supports 100+ security log types across 50+ categories and allows easy ingestion of custom log types using schema inference. The platform also provides a unified data model that standardizes a set of unified fields across all log types, enabling petabyte-scale search with significant performance improvements due to the separation of compute and storage. Panther Security Data Lake includes instant scalability, allowing resources to be scaled up or down as needed for incident response and threat hunting. It offers a fully managed data environment, ensuring secure configurations with daily cloud scans and real-time alerts for misconfigurations and suspicious activity.
