Dropbox is a cloud storage service that allows individual users organizations to save and share files within online folders. Panther can collect, normalize, and monitor Dropbox logs to help you identify suspicious file-sharing 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 has the ability to fetch and monitor Dropbox logs by querying the Dropbox Business API. Dropbox audit logs show various types of activity, including user sign-in, activity file editing, and sharing. Some common SIEM use cases for Dropbox logs include:
Panther’s integration for Dropbox is fast and easy to configure, allowing you to onboard Dropbox logs in just a few minutes. Simply select Dropbox from the list of log sources in the Panther console, create a new App Key within the Dropbox Business API, and submit your key and credentials into the Panther setup menu.
For more details on onboarding Dropbox logs or for supported log schema, you can view our Dropbox documentation here.
As Panther ingests Dropbox 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 various search tools 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 rigid 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.
A number of pre-built detections for Dropbox 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 Dropbox logs here.
Panther generates alerts when your detection rules or policies for Dropbox 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 Dropbox 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 Dropbox logs here, or customers can sign up for the Panther Community to share best practices or custom detections for Dropbox 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 Dropbox, request a demo today.
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