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Panther is a cloud-native threat detection platform designed to transform raw logs into a structured security data lake. This allows for real-time threat detection, swift incident response, and thorough investigations. It supports detection-as-code in Python and integrates with critical log sources like S3, CloudTrail, and VPC Flow Logs, making it suitable for scaling security operations.
One of Panther's key features is its ability to rapidly analyze logs, enabling fast detection and query capabilities. Users can quickly search for indicators of compromise (IoCs) across vast amounts of data, streamlining security operations. The platform also reduces costs associated with traditional Security Information and Event Management (SIEM) systems by providing an efficient and highly scalable data lake architecture.
Panther supports custom log types, allowing users to define their own schemas in JSON or CSV formats. This flexibility enables the ingestion of custom logs through data transport mechanisms, enhancing the platform's versatility in handling diverse log data. Additionally, Panther integrates with security tools like Duo Single Sign-On, which adds two-factor authentication and flexible security policies to enhance access control and security. This integration helps manage user identities more securely across cloud-hosted applications.
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Website: panther.com
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