About Panther
Panther is an AI-driven security operations platform built as a cloud-native SIEM. The company is now part of Databricks.
What it does
Panther collects security logs and runs detections on them. AI agents investigate alerts with full context, close confirmed benign alerts automatically and store each outcome to improve later investigations. Agents can also hunt the full data lake on a schedule. Findings from those hunts can become new detections through a governed workflow.
Key features
- Automatic triage of alerts with full context
- Scheduled hunts across the data lake
- Detection engineering with AI assistance
- Agentic runbooks that analysts review and guide
- Stored outcomes that improve future investigations
Who it's for
Security operations teams and detection engineers at organizations with large volumes of security logs. Teams that want to reduce alert volume without losing coverage will find it relevant.
Pricing and good to know
Panther is a commercial platform, now part of Databricks. Plans and terms are set by the company, so check its website for current details. Autonomous actions are designed to stay transparent, with analysts reviewing the steps. Adopting a platform like this takes time to tune detections and runbooks for your own environment.
Highlights
- Triage alerts automatically with full context
- Hunt the data lake on a schedule
- Turn hunt findings into governed detections
- Review agentic runbooks before actions run
- Store outcomes to improve later investigations
