Security Operations Made Painless

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

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Cloud-Native

Transform raw logs into structured and normalized data to power fast searches

Detection-as-Code

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

Security Workflows

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

The Benefits of Using Python to Write SIEM Detections

Historically, legacy SIEM tools rely on proprietary coding languages to create detections and protect organizations. In contrast, modern SIEMs like Panther allow you to write detections with open-source languages like Python, which can vastly improve the speed, power, and cost-efficiency of your security operations.

 

How to Implement Effective Security Monitoring for AWS

Get real-world examples of AWS security threats along with practical steps to ensure you can proactively defend against them.

 

Mike Saxton of Booz Allen on Where Teams Start in Their Detection Journey and How Detection as Code is Bridging the Cybersecurity Skills Gap

In this episode Mike discusses everything from getting started on your detection journey, to broader cloud security adoption, the use of open source in government, and more! 

 
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