CrowdStrike is a SaaS protection platform for endpoint security and threat intelligence. Panther can collect, normalize, and monitor CrowdStrike logs to help you identify suspicious activity in real time. Your normalized data is then retained to power future security investigations in a data lake powered by the cloud-native data platform, Snowflake.
Panther supports ingestion and monitoring of CrowdStrike FDREvent logs along with more than a dozen legacy log types. Some common SIEM use cases for CrowdStrike logs include:
Panther’s SIEM integration for CrowdStrike is simple to configure by integrating with the CrowdStrike Falcon Data Replication (FDR). Simply select CrowdStrike from the list of log sources in the Panther console, create an API Key and credentials in CrowdStrike FDR, and submit your credentials into the Panther setup menu.
For more details on onboarding CrowdStrike logs or for supported log schema, you can view our CrowdStrike documentation here.
As Panther ingests CrowdStrike 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 all log records, which standardizes names for attributes and empowers users to correlate data across all of your log sources. Panther’s various 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.
A number of pre-built detections for CrowdStrike are available by default in Panther, offering users immediate value for monitoring common IoCs and threats. You can explore our built-in detection coverage for CrowdStrike logs here.
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, scalable, and reusable scripting of detections for your security team.
Panther generates alerts when your detection rules or policies for CrowdStrike 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 CrowdStrike 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 CrowdStrike logs here, or customers can sign up for the Panther Community to share best practices or custom detections for CrowdStrike 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 CrowdStrike, request a demo today.
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