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This page offers an overview of Panther, its use-cases, and powerful capabilities designed to address a wide range of cloud security challenges and combat current and emerging threats.

What is Panther

Panther is a powerful, open-source, cloud-native SIEM designed to be:

  • Flexible: Python-based detections and alerting support for PagerDuty, Slack, MS Teams, and more

  • Scalable: Built on serverless technologies for cost and operational efficiency at scale

  • Fast: Near real-time rules analysis, alerting, and automatic remediation

  • Integrated: Analyze both security logs and cloud resources for total visibility

  • Automated: Fast and simple deployments with AWS CloudFormation

  • Secure: Least-privilege and encrypted infrastructure that you control

Panther's use-cases include:

  • Log Analysis: Centralize and analyze log data with Rules for threats and suspicious activity

  • Investigation: Perform historical queries with SQL over long-term data for analytics, log correlation, and forensics.

  • Cloud Compliance: Detect misconfigured cloud resources and enforce best practices with Policies.

  • Auto Remediation: Automatically correct non-compliance infrastructure

The following diagram offers a high-level overview of Panther's architecture:

Panther offers an intuitive way to detect suspicious activity by using Rules. Each Rule evaluates to a given log type, and contains metadata and context to help analysts understand its purpose.

Rule Settings

Then, Python code can be input into the browser to analyze logs:

Rule Function Body

Panther also offers a feature to detect misconfigured AWS resources.

Each entity within an AWS account is defined as a Resource. Each Resource has a set of attributes that can be referenced in a Policy. The following screenshot shows how Panther lets you monitor all your Resources, Attributes, and Policies from a single pane of glass:

Resource Details

You can also easily search your Resources by using filters such as Type, Source, Status, or Name:

Resource Search

To get setup with Panther, continue with the Quick Start on the next page!