Learn how to identify common and specialized cybersecurity attacks with Python detections and developer-friendly workflows.

Rather than inventing another new domain-specific language (DSL) for security teams to learn, Panther uses Python to enable teams to quickly bootstrap a modern and flexible detection and response program.

With its versatility and extensibility, Python offers security engineers the ability to more easily write and maintain complicated detection logic that aligns security programs with business objectives for risk and compliance.

In this webinar, we discuss how to:

• Write custom threat detections in Python

• Baseline behaviors to calibrate detections

• Use Panthers built-in unit testing framework to achieve high signal alerts

• Leverage Global Helper Functions to store reusable detection logic