Transform raw logs into structured and normalized data to power fast searches
Build a high-fidelity alerting pipeline with Python, version control, unit tests, and CI/CD
Transform raw logs into a structured data warehouse for security at scale
We’re reinventing security operations for the cloud-first world, making detection and response at scale refreshingly practical.
Designed to deliver full visibility across AWS logs with real-time detection of threats and security risks.
Out-of-the-box detections and rules to monitor activity in Snowflake and validate security configurations.
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.
Great Place to Work Certification™ is recognized worldwide by employees and employers alike and is the global benchmark for identifying outstanding employee experiences.Read More
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.
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!