Tines is a no-code platform that allows organizations to build and maintain automated workflows and repetitive processes. Panther can collect, normalize, and monitor Tines logs to help you identify suspicious activity within your Tines tenant 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.
Tines audit logs are automatically captured any time a user changes a piece of data within your tenant. Some common security use cases for Tines audit logs include:
Panther can fetch Tines logs by querying the Tines API. Specifically, Panther pulls Tines Audit logs, by querying the Audit logs API. Setting Tines up in Panther is fast and easy - simply create a new Tines log source within the Panther console, generate an API key in Tines, and submit your key and credentials into Panther.
For more details on onboarding Tines logs or for supported log schema, you can view our Tines documentation here.
As Panther ingests Tines 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 handy 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 rigid detections as seen in many SIEM solutions. Panther is built 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 Tines are available in Panther, offering you the ability to immediately monitor for common IoCs and threats. You can explore our built-in detection coverage for Tines logs here.
Panther generates alerts when your detection rules or policies for Tines 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 grouped into 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 onboarding or monitoring Tines 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 Tines logs here, or customers can sign up for the Panther Community to share best practices or custom detections for Tines logs.
With Panther, your team doesn’t have to pay excessive costs to keep up with the growth of cloud app data, waste time and resources on operational overhead, 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 meet today’s security needs.
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. For a powerful, practical, and scalable SIEM solution for Tines, request a demo today.
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