Auditd, also known as Linux Audit Daemon, is a Linux Auditing System component that captures system events on Linux machines. Panther can collect, normalize, and monitor Auditd logs to help you maximize visibility over system-level activities in your Linux environment. Your normalized data is then retained to power future security investigations in a serverless data lake powered by Snowflake.
Panther offers native support for Linux.Auditd logs, which collect audit log file records such as system calls, file access details, and security policy violations. Common security use cases for Auditd logs include:
Panther’s integration for Auditd is simple to configure, allowing you to stream your logs in just a few minutes. You’ll simply select Auditd from the list of log sources in the Panther console, and then create a Fluent Bit to forward your Auditd logs.
For more detailed steps on onboarding Auditd audit logs or for supported schema, you can view our Auditd documentation here.
As Panther ingests Auditd logs, they are parsed, normalized, and stored in a Snowflake security data lake. This empowers security teams to craft detections, identify anomalies, and conduct investigations on logs in the context of days, weeks, or months of data.
Panther applies normalization fields to all log records, which standardizes names for attributes and empowers users to correlate and investigate data across all log types. For more on searching log data in Panther, check out our documentation on Investigations & Search.
With Panther, your team won’t be confined to rigid detection rules or proprietary query languages as required by many SIEM platforms. Panther is built with detection-as-code principles, giving you the ability to write Python to define detection logic and to integrate external systems like version control and CI/CD pipelines into your detection engineering workflows. This results in powerful, flexible, and reusable scripting of detections for your security team.
Panther fires alerts when your detection rules or policies are triggered, and integrates with a variety of alert destinations to allow for easy review and management of any Auditd alerts. Alerts can also be forwarded to alert context or SOAR platforms for more remediation options.
Alerts are categorized in five different severity levels: Info, Low, Medium, High, and Critical. Security teams have the options to dynamically assign severity based on specific log event attributes.
If you have any questions about configuring or monitoring Auditd logs in Panther, we’re here to help. All customers have access to our technical support team via a dedicated Slack channel, email, or in-app messenger.
You can view our documentation on configuring and monitoring Auditd logs here, or customers can sign up for the Panther Community to share best practices or custom detections for monitoring Auditd.
With Panther, security teams don’t have to struggle with restrictive detection logic, waste time and resources on operational overhead, or pay skyrocketing costs to keep up with the growth of their organization’s data. Panther was founded by a team of veteran security practitioners who struggled with legacy SIEM challenges first-hand, and built an intuitive, cloud-native platform to solve them.
Panther is a cloud SIEM built for security operations at scale, offering flexible detection-as-code, intuitive security workflows, and actionable real-time alerts to keep up with the needs of today’s security teams. For a powerful, flexible, and scalable SIEM solution for Auditd, request a demo today.
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