1Password is a password management platform that helps to improve security, visibility, and control over how passwords and company data are protected. Panther can collect, normalize, and monitor 1Password logs to help you identify suspicious activity in real time. Your normalized data is then retained to power future security investigations in a serverless data lake powered by Snowflake.
1Password event logs show various types of activity in a user's 1Password account, such as item usages and sign-in attempts. Common security use cases for monitoring 1Password logs include identifying:
Panther’s integration for 1Password is easy and fast to configure, allowing you to onboard logs in just a few minutes. Simply generate an Access Token within 1Password, select 1Password from the list of pre-defined log sources in Panther, and provide basic credential information for your 1Password account.
For more detailed steps on onboarding 1Password logs or for supported log schema, you can view our 1Password documentation here.
As Panther ingests 1Password audit logs, they are parsed, normalized, and stored in a Snowflake security data lake. This allows 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 data across all log sources - not just 1Password. Panther’s search tools - Data Explorer, Indicator Search, and Query Builder - allow you to investigate your normalized logs for suspicious activity or vulnerabilities. For more on searching log data in Panther, check out our documentation on Investigations & Search.
With Panther, your team won’t be confined to rigid detection rules as seen in most legacy 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.
A number of pre-built detections for 1Password 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 1Password logs here.
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 1Password alerts. Alerts can also be sent to alert context or SOAR platforms for more remediation options.
Alerts are grouped 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 1Password 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 1Password logs here , or customers can sign up for the Panther Community to share best practices or custom detections for monitoring 1Password.
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-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 for 1Password, request a demo today.
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