Panther

Founded by Jack Naglieri in 2019

Investigate security alerts, detect cyber threats, and automate log analysis across cloud environments

Pricing model

Demo

Rating

★ People love it

Time to value

Moderate Setup (1-3 hours)

You can use Panther to monitor cloud security logs, triage alerts, and investigate incidents at petabyte scale. The system lets security teams write custom detection rules using Python or generate them automatically using plain text prompts. Autonomous agents investigate every incoming alert, gather relevant context across multiple systems, and automatically close confirmed benign notifications. Security analysts retain complete control with human-in-the-loop review steps before taking action. It can run directly inside your existing Snowflake or Databricks data lake or operate as a fully managed cloud service.

What Panther does

Ingest security logs from multiple cloud environmentsCreate custom threat detection rules in PythonGenerate detection rules using natural language promptsAutomate the initial triage of incoming security alertsAssemble investigation timelines across multiple disparate data sourcesRun scheduled threat hunting queries over data lake logsReview and approve remediation actions suggested by AI agentsWrite detection rules as code using Python or natural language promptsAutonomous agents investigate incoming alerts and gather contextual evidenceAutomatic triage and suppression of recurring benign alertsHuman-in-the-loop review requiring approval for all write actionsQuery data in place directly within Snowflake or Databricks data lakesIngest and normalize security event logs at petabyte scaleScheduled threat hunting across historical data lake logs