Auth0 offers a secure and scalable solution for managing user identities, providing features like multi-factor authentication, passwordless login, and centralized identity management to protect against data breaches and unauthorized access. Panther can collect, normalize, and analyze Auth0 logs to help you identify suspicious activity in real time. Your normalized data is then retained to power future security investigations in a serverless data lake.
Auth0.Events are event logs from the Auth0 log stream, and include details on events such as administrator actions, API operations, user authentications, various errors, and usage patterns. Some common security use cases for Auth0 logs include:
Panther can ingest Auth0 tenant logs by configuring Auth0's log streaming service to post events to a Panther HTTP source. Simply select Auth0 from the list of log sources in the Panther console, create a new Log Stream in Auth0, and configure an HTTP source in Panther.
For more details on onboarding Auth0 logs or for supported log schema, you can view our Auth0 documentation here.
With Panther, you aren’t confined to rigid detections as seen in many SIEM solutions. Panther is architected around 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 processes. This results in powerful, flexible, and reusable scripting of detections for your security team.
A number of pre-built detections for Auth0 are available by default in Panther, offering users the ability to immediately monitor for common vulnerabilities and threats. You can explore our built-in detection coverage for Auth0 logs here .
As Panther ingests Auth0 logs, they are parsed, normalized, and stored in a Snowflake security data lake. This allows you to build detections, identify anomalies, and conduct investigations in the context of days, weeks, or months of data.
Panther applies normalization fields to any log records, which standardizes names for attributes and empowers you to correlate data across all of your log sources. Panther’s search features allow you to investigate your normalized logs for suspicious activity or vulnerabilities. For more information on searching logs, check out our documentation on Investigations & Search .
Panther generates alerts when your detection rules or policies for Auth0 are triggered, and integrates with a variety of alert destinations to allow for intuitive management of any alerts. Alerts can also be sent to alert context or SOAR platforms for more remediation options.
Alerts are categorized in five different severity levels: Info, Low, Medium, High, and Critical. Your security team has the ability to dynamically assign severity based on specific log event attributes.
If you have any questions about configuring or monitoring Auth0 logs in Panther, our customer support team is here to help. All customers have access to support via a dedicated Slack channel, email, or in-app messenger.
You can view our documentation on configuring and monitoring Auth0 logs here , or customers can sign up for the Panther Community to share best practices or custom detections for Auth0 logs.
With Panther, your team doesn’t have to waste time and resources on operational overhead, pay excessive costs to keep up with the growth of cloud app data or struggle with restrictive detection logic. Panther was founded by a team of security engineers who struggled with other SIEM solutions first-hand, and built an intuitive, cloud-native platform to solve them.
Panther is a cloud-native SIEM built for security operations at scale, offering flexible detection-as-code, intuitive security workflows, and actionable real-time alerts. If you’re searching for a seamless SIEM platform for streaming and monitoring Auth0 logs, request a demo today.
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