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With Panther, you can transform terabytes of raw logs per day into a structured security data lake to power real-time detection, swift incident response, and thorough investigations.
Panther includes built-in integrations for dozens of high value data sources, effortless IOC normalization, real-time analysis of logs as they are ingested and scalable, cost-effective storage in a high performance security data lake.
More and more security teams are adopting developer-centric approaches to writing, testing and hardening detections, so we built Panther with “Detection-as-Code” to make this easy and practical, using Python.
With Panther, you can dynamically add helpful context to alerts, dispatch them into notification systems for triage, and enable hands-off response via automation platforms.
Panther normalizes IOCs across all log sources as data is ingested, then stores it in a structured security data lake to enable thorough investigations and effective threat hunting.