Panther

Founded by Jack Naglieri in 2019

Investigate security alerts automatically and improve detections over time with AI

Cost

Demo

Rating

★ People love it

Time to value

Moderate Setup (1-3 hours)

You can use Panther to run an AI-driven Security Operations Center (SOC) that automatically investigates every alert, triages findings, and closes benign cases without analyst intervention. It connects cloud security logs, EDR data, and other sources into one view, writes and improves detection rules using natural language, hunts your data lake on a schedule, and assembles full investigation context when something escalates. Every outcome teaches the system to produce fewer false positives over time.

What Panther does

Investigate every alert automatically using AI agentsCreate detection rules from natural language descriptionsHunt the data lake on a recurring schedule for new threatsClose confirmed benign alerts without analyst reviewSuppress repeat false positive alerts based on historical outcomesAssemble multi-system investigation context when an alert escalatesRequire human approval before any automated write action executesLog and store every AI action for later review by the security teamAI agent automatically investigates every incoming alert with full context assembled across systemsDetection rules can be created using plain natural language promptsEvery closed alert outcome feeds back to suppress similar false positives in the futureScheduled threat hunting across the full data lake surfaces new findings automaticallyHuman-in-the-loop controls require analyst approval before any write action is takenRuns inside your own AWS account against your existing Snowflake or Databricks warehouseAll AI actions are fully logged, reviewable, and editable by the security teamTenant isolation on Amazon Bedrock with no customer data used in model training