Proofpoint Log Monitoring

Integration Overview

Proofpoint provides email, identity, and data protection services. Panther can collect, normalize, and monitor events from your email protection service to help you identify suspicious activity in real-time. Your normalized data is retained for future security investigations in a data lake powered by Snowflake.

Use Cases for Proofpoint Logs

Common SIEM use cases for these email logs include:

  • Detecting authorized and unauthorized link clicks or attachment downloads
  • Correlating email events with other security logs

Onboarding Proofpoint Logs in Panther

Panther’s integration for Proofpoint is easy to configure. Simply generate an API token in Proofpoint and paste the token’s details into Panther’s log source creation wizard. Once created, Panther will fetch events from Proofpoint’s SIEM API continuously, allowing you to onboard your log data in just a few minutes.

For more details on onboarding Proofpoint logs or for supported log schema, you can view our Proofpoint documentation here.

Normalizing & Analyzing Proofpoint Events

As Panther ingests events, 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 your data in the context of days, weeks, or months.

Panther’s managed schema will apply normalization fields to your Proofpoint events, standardizing attribute names and empowering 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 restrictive detection rules as seen in many SIEM platforms. Panther is built with detection-as-code principles, allowing users to use Python to write expressive detections and 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. In addition, you can create correlation rules to link multiple events together, like IDP logs and Proofpoint logs, for highly targeted alerts.

Configuring Alerts

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 Proofpoint alerts. Alerts can also be forwarded to alert context or SOAR platforms for more remediation options.

Alerts are categorized into five different severity levels: Info, Low, Medium, High, and Critical. Security teams have the option to dynamically assign severity based on specific log event attributes.

Customer Support

If you have any questions about configuring Proofpoint with 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 check out our documentation on configuring Proofpoint here, or customers can sign up for the Panther Community to share best practices or custom detections for Proofpoint.

The Ideal SIEM Integration for Proofpoint

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 data. Panther was founded by a team of veteran security practitioners who struggled with legacy SIEM challenges firsthand 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 to keep up with the needs of today’s security teams. For a powerful, flexible, and scalable SIEM solution, request a demo today.

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