Business
For fast-growing technology companies with flexible needs.
Enterprise
For Enterprise companies with advanced security, support and legal requirements.
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Bearer defines contributing developers as developers having made a commit to a repository monitored by Bearer in the last 90 days.
Bearer is comprised of two software elements:
- The Broker: a Go binary packaged as a Docker image which scans your code repositories and your cloud infrastructure and sends metadata to the Dashboard.
- The Dashboard: a SaaS managed by Bearer which provides you with dashboards to help you find and fix data security risks and vulnerabilities
See How Bearer works for more details.
Bearer integrates with your Source Code Management (SCM) software, your CI/CD pipeline and your cloud infrastructure provider:
- SCM integrations: GitHub, GitHub Enterprise, GitLab.
- CI/CD integrations: GitHub Actions.
- Cloud infrastructure integrations: Amazon Web Services.
See Integrations for more details.
Bearer never uses, clones, or stores your code repositories.
The Broker is deployed on your premises so Bearer never has direct access to your source code and your sensitive data can’t leave your private network.
It only processes metadata transmitted by the Broker such as name of code repositories, technologies used, dependencies, and data types.
See Security for more details.
Yes. Bearer does not access your database values at any point.
We offer a free trial. A free trial consists in:
- Installing the Broker (30 min). Our solution engineering team is here to assist you.
- Scanning your source code and cloud infrastructure. You have nothing to do, this is our job.
- Getting access to Bearer (30 min call). Our onboarding team is here to walk you through the product.
Bearer discovers data by scanning structured data files (SQL, OpenAPI, GraphQL, Protobuf files, etc.) as well as your entire source code (Methods, Class, Object, Attributes, etc.).
Data discovered are then classified into 120+ data types by a built-in machine learning model (see Data Types for more details).
Data types are then regrouped into data categories that you can fully customize to fit your data taxonomy.
See Data discovery & classification for more details.