Panther

Panther analyses security logs and supports detection rules written or adjusted through natural-language input. Its AI agent investigates alerts against connected data stores and returns findings and reviewable detection code.

The linked official pages do not list plan prices.

Is Panther right for you?

Good for

  • Security teams that want code-driven detection engineering plus an AI agent to run scheduled investigations against an owned data lake.
  • Agentic investigations run on a configurable cadence and can perform natural-language queries across alerts and logs.
  • Panther supports natural-language creation of detections, enabling non-code or hybrid teams to generate detection logic quickly.

Keep in mind

  • Detection edits and deployment are governed by human review and reviewable code workflows rather than automatic pushes.
  • Panther documents tenant isolation and that customer data is not used for model training, which may limit adaptive cross-customer model improvements.
  • Before relying on automated investigations, confirm coverage of your alert sources and how analysts can inspect the evidence and approve response actions.

Choose a plan for your work.

The linked official pages do not list plan prices.

Explore plans

Pricing and plan limits

linked official pages describes deployment models (connected on your cloud or hosted) but does not include specific plan names, currency amounts, or billing terms.

Confirm access with Panther

The linked official pages do not list plan prices.

See plans on Panther
More about capabilities and limits

Documented strengths

Agentic investigations run on a configurable cadence and can perform natural-language queries across alerts and logs.AI SOC Agent for Alert Triage & Investigation | Panther

Panther supports natural-language creation of detections, enabling non-code or hybrid teams to generate detection logic quickly.Panther | The Complete AI SOC Platform

The platform emphasizes data-grounded AI by normalizing logs at ingest and running AI against the complete normalized dataset.Security Data Pipeline for Modern SOC Operations | Panther

Limitations to consider

Detection edits and deployment are governed by human review and reviewable code workflows rather than automatic pushes.AI SOC Agent for Alert Triage & Investigation | Panther

Panther documents tenant isolation and that customer data is not used for model training, which may limit adaptive cross-customer model improvements.Panther | The Complete AI SOC Platform

Choosing a plan

Run a proof-of-concept connecting your Snowflake/Databricks data to Panther to confirm the AI SOC Agent’s scheduled investigations and natural-language detection creation operate on your normalized logs as expected.

Based on the linked product documentation.

Official sources

Panther | The Complete AI SOC PlatformSecurity Data Pipeline for Modern SOC Operations | PantherAI SOC Agent for Alert Triage & Investigation | Panther

Alternatives to Panther

Choose around the work you need to do.

Sophos

Compare Sophos for this workflow: security teams needing long-term compliance retention combined with AI-assisted ingestion and integration into XDR/MDR workflows.

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Elastic Security

Compare Elastic Security for this workflow: security teams wanting AI-driven triage and native automation integrated with search and observability data on Elasticsearch.

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