Security Operations Made Painless

Panther alleviates the pain of traditional SIEM with detection-as-code, a robust security data lake, and flexible scalability with zero-ops.

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WHY PANTHER

Uncompromising Security

Built for Scale

Process and retain all of your security data with zero-ops and cloud-first workflows

Real-Time Alerting

Identify suspicious activity as soon as it happens across your entire environment

Detection-as-Code

Build a high-fidelity alerting pipeline with Python, version control, unit tests, and CI/CD

Security Data Lake

Transform raw logs into a structured data warehouse for security at scale

Customers

Leading Security Teams Trust Panther

Panther Labs Named to the Enterprise Tech 30

Inductees to the ET30 are on a fast track of growth to change how business is done and are expected to be future IPOs and multi-billion dollar exits.

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Panther Labs Earns Great Place to Work Certification™

Great Place to Work Certification™ is recognized worldwide by employees and employers alike and is the global benchmark for identifying outstanding employee experiences. 

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Insights

Research and Insight Into Cybersecurity

Rapid Detection and Response with Panther & Tines

As the threat landscape evolves and the magnitude of potential threats skyrockets, security teams often struggle to keep up. Compounding the issue, organizations are ingesting more data from cloud infrastructure, applications, networks, and hosts than ever before.  As data volumes explode, adding automation can help security teams increase efficiency and scale their efforts. Currently, the […]

 

Automating Detection and Response with Panther and Tines

How to use Panther and Tines to generate alerts on suspicious activity, get answers from end-users, enrich data, and leverage automation to save time to focus on the issues that matter most: improving the security of your organization.

 

Discord’s Kathy Wang on Building and Managing Security Teams

Kathy Wang is the CISO at Discord, an internationally-recognized malware expert who has researched, developed, evaluated, and operationalized various solutions for detecting and preventing client-side attacks used by advanced persistent threats (APT)