End-to-End Visibility for Modern Security Teams
Collaboration and Advanced Features for Teams
Security at Scale with Max Performance
Looking for new cloud security solutions? Let us tell you about Panther.
Security teams are struggling to manage the unprecedented scale and growth of data in the cloud.
Panther is an open, scalable, and developer-friendly solution for cloud-first organizations to detect and respond to suspicious activity in real-time. Panther operationalizes massive volumes of scattered and unstructured security logs into real-time Python detections and helpful analytics with SQL over structured data. This new data-driven, developer-centric paradigm will power security teams for the next 10 years.
With Panther, teams can perform continuous security monitoring, achieve end-to-end security visibility across cloud and on-premise infrastructure, and build a robust security data lake to power investigations.
Some of the common use-cases of Panther are:
Panther collects all of your critical security logs, analyzes them in real-time, and normalizes data into structured events that get stored into a data lake.
Here’s how it works:
The world is shifting from analysts and dashboards to automation and code. By enabling security teams to operationalize massive volumes of security data with cloud-first architectures and developer-driven workflows, Panther can serve as the foundation for modern organizations to quickly bootstrap detection and response programs and secure cloud environments.
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.
Panther runs as a completely serverless architecture to obtain the lowest overhead/cost at the highest scale. By leveraging AWS cloud-native services like Lambda, ECS, DynamoDB, S3, and more, Panther can handle massive workloads with zero-hassle administration.
Panther Enterprise offers maximum value to teams and organizations with advanced features around querying and data storage, the ability to pull SaaS log data, customizable RBAC and SSO integrations, and the option for SaaS deployment. Request a Demo.
Panther uses Python to help you write expressive, flexible, and testable detections. 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.
Watch this on-demand webinar to learn how you can write custom detections in Panther and identify common and specialized cybersecurity attacks using Python detections and developer-friendly workflows.
Panther can ingest terabytes of security log data per day from a variety of sources including AWS and GCP, security tools like Osquery and OSSEC, and a growing number of SaaS applications such as G Suite, Okta, and OneLogin. As data is processed, detections are run and alerts are dispatched in real-time to destinations like Slack, Jira, and PagerDuty.
Get started with our Integration Directory to learn how you can collect data from all your apps, send alerts to your messaging pipelines, and build a data lake on top of your AWS or
Snowflake with Panther.
Panther lets you dispatch alerts to your team in real-time to destinations like Slack, Jira, and PagerDuty. View all destinations supported by Panther.