Netskope is a leading Security Service Edge (SSE) platform that provides visibility, threat protection, and real-time data tools for cloud services, websites, and apps. Panther can collect, normalize, and monitor Netskope logs to help you maximize visibility over your organization’s cloud-based activities. Your normalized data is then retained to power future security investigations in a serverless data lake powered by Snowflake.
Use Cases for Netskope Audit Logs
Panther offers native support for Netskope audit logs, which capture important events related to Netskope application activities, users, alerts, and other details. Common SIEM use cases for Netskope audit logs include:
- Corroborating cloud-based activity with other security data
- Investigating incidents such as compromised credentials, malware, or anomalies
- Monitoring changes to administrator accounts or settings
Onboarding Netskope Logs in Panther
Panther’s integration for Netskope is simple to configure, allowing you to onboard logs in just a few minutes. You can select Netskope from the list of log sources in the Panther console, create API credentials in the Netskope Admin Console, and then submit those credentials into the Panther setup menu.
For more detailed steps on onboarding Netskope audit logs or for supported schema, you can view our Netskope documentation here.
Normalizing & Analyzing Netskope Logs
As Panther ingests Netskope logs, they are parsed, normalized, and stored in a Snowflake security data lake. This empowers security teams to craft detections, identify anomalies, and conduct investigations on logs 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 and investigate data across all log types. For more on searching log data in Panther, check out our documentation on Investigations & Search.
Detection as Code
With Panther, your team won’t be confined to rigid detection rules or proprietary query languages as required by many SIEM platforms. Panther is built with 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 workflows. This results in powerful, flexible, and reusable scripting of detections for your security team.
Panther fires alerts when your detection rules or policies are triggered, and integrates with a variety of alert destinations to allow for easy access and management of any Netskope alerts. Alerts can also be forwarded to alert context or SOAR platforms for more remediation options.
Alerts are categorized in five different severity levels: Info, Low, Medium, High, and Critical. Security teams have the options to dynamically assign severity based on specific log event attributes.
If you have any questions about configuring or monitoring Netskope logs in Panther, we’re here to help. All customers have access to our technical support team via a dedicated Slack channel, email, or in-app messenger.
You can view our documentation on configuring and monitoring Netskope logs here, or customers can sign up for the Panther Community to share best practices or custom detections for monitoring Netskope.
The Ideal SIEM Integration for Netskope
With Panther, security teams don’t have to struggle with restrictive detection logic, waste time and resources on operational overhead, or pay skyrocketing costs to keep up with the growth of cloud app data. Panther was founded by a team of veteran security practitioners who struggled with legacy SIEM challenges first-hand, and built an intuitive, cloud-native platform to solve them.
Panther is a cloud SIEM built for security operations at scale, offering flexible detection-as-code, intuitive security workflows, and actionable real-time alerts to keep up with the needs of today’s security teams. For a powerful, flexible, and scalable SIEM integration for Netskope, request a demo today.