OneLogin is a widely used single sign-on and identity management platform that provides organizations with a single destination to manage and access all apps. Panther can collect, normalize, and monitor OneLogin audit logs to help you identify suspicious activity in real time. Your normalized log data is then retained to power future security investigations in a data lake powered by the cloud-native data platform, Snowflake.
Panther can pull OneLogin Event logs, which contain details about common event elements including accounts, users, apps, devices, policies, and more. Some common SIEM use cases for OneLogin event logs include:
Panther is able to process OneLogin events through OneLogin's integration with Amazon EventBridge. This allows Panther to process OneLogin logs in a scalable and reliable, low latency manner. To set up OneLogin in Panther, simply select OneLogin from the list of log sources in the Panther console, configure a new event webhook in OneLogin using Amazon EventBridge, and submit your credentials into the Panther setup menu.
For more details on onboarding OneLogin logs or for supported log schema, you can view our OneLogin documentation here.
As Panther ingests OneLogin logs, they are parsed, normalized, and stored in a Snowflake security data lake. This allows you to write detections, identify anomalies, and conduct investigations in the context of days, weeks, or months of data.
Panther applies normalization fields to log records, which standardizes names for attributes and enables you to correlate data across all of your log sources. Panther’s intuitive search tools - such as Query Builder, Data Explorer, and Indicator Search - 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.
With Panther, you aren’t confined to restrictive detections or proprietary languages 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.
Pre-built detections for OneLogin are available in Panther, offering users immediate value for monitoring common IoCs and threats. You can explore our built-in detection coverage for OneLogin logs here.
Panther generates alerts when your detection rules or policies for OneLogin 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 by 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 OneLogin 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 OneLogin logs here, or customers can sign up for the Panther Community to share best practices or custom detections for OneLogin 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 OneLogin, request a demo today.
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