Security analytics & SIEM · Panther Labs, Inc.

Panther

Cloud-native, detection-as-code SIEM built on a Snowflake-style data lake for security teams that prefer writing detections as code.

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Panther is a cloud-native SIEM aimed at security engineering teams rather than traditional SOC analysts: detections are written as Python code (rather than point-and-click rule builders), version-controlled, and tested like software, which appeals to teams already running CI/CD for infrastructure. It separates cheap, scalable log storage from a real-time detection pipeline that evaluates rules as data streams in, and exposes stored data for SQL-based retrospective search. It targets high-growth, engineering-led security teams at cloud-native companies rather than compliance-first SOCs. Pricing is not published on the vendor's marketing pages and requires a sales conversation.

At a glance

Vendor Panther Labs, Inc.
Pricing model Quote only
Free tier No
Deployment Cloud
Open source No
Best for Engineering-led security teams that want detections managed as version-controlled code rather than GUI rules.

Pricing

Custom-quoted; no pricing tiers or rates published on the vendor site.

Checked on the vendor's own page on September 21, 2026: no prices are published. Expect to be quoted.

Features

  • Detection-as-code using Python, version-controlled
  • Real-time streaming detection pipeline
  • SQL-based retrospective search over stored log data
  • Prebuilt detection packs for common cloud services
  • Case management and alert triage
  • Cloud-native, SaaS-only deployment

Integrations

Profile last reviewed September 21, 2026

Alternatives

Securonix Cloud-native SIEM built on a Snowflake data lake, emphasizing behavior analytics and content-rich threat detection. Google Security Operations Google Cloud's SIEM, built on the Chronicle backend, offering high-volume, long-retention log search with integrated threat intelligence. Devo Cloud-native SIEM and data analytics platform emphasizing real-time query performance at high ingest volume.

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Terms to know

Anomaly detection Identifying data points or patterns that deviate significantly from expected or normal behavior. Data lake A storage repository that holds raw data of any format cheaply, with structure applied only when the data is read. SIEM (security information and event management) A platform that centralizes and correlates log and event data across an IT environment to detect and investigate security threats.

Related guides

How to choose a SIEM Choose a SIEM by deployment model, whether detection is rule-based, behavioral, or code, and how the storage architecture handles cost as retention grows.