Why Bearer

Bearer integrates with developer tools and workflows to continuously detect risks, so you can ensure data security at scale without impacting velocity.

NEW Paradigm

Data security and privacy are paramount

  • Data leaks and breaches are more frequent (67% increase between 2014 and 2019) and expensive ($3.86M average cost in 2020).
  • Privacy laws are flourishing everywhere: GDPR in Europe, CCPA in the US, LGPD in Brazil, PIPL in China, and many more.
  • Data security and privacy have become a competitive advantage to gain the trust of customers.
Illustration of a computer with a security shield.
Illustration of three people working.

Engineering organizations in tech companies are increasingly complex

  • Engineering and product teams are growing fast.
  • Software architecture is more fragmented with the increasing use of microservices and third-party APIs.
The status quo

Security teams at tech companies lack visibility

Security teams struggle to keep up with the pace of product and engineering changes. 

It is highly time-consuming to assess where the data is, how it is protected, and if the organization's security and privacy policies are well implemented.

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The Bearer difference

Made for fast-growing companies building modern cloud applications.

Product snapshots

Bearer automates your data inventory

Spreadsheets, wikis, and manual surveys do not scale. As your engineering organization grows, they become too time-consuming to maintain.

By continuously scanning your codebase, Bearer automatically catalogs your services and data flows over time. Tech companies with hundreds of developers and thousands of services can build and maintain their data inventory with minimal human resources.

A code editor with Bearer's broker code.

Bearer is easy to deploy

Data cataloging software have to be connected to production databases. They require weeks and significant human resources to be deployed and maintained.

Bearer does not connect to your databases or access your data. It scans your source code via native integrations with GitHub and GitLab. You can deploy it in less than 30 minutes by installing a single Docker image. Zero impact on your production.

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Bearer detects third-party services

Understanding how you are sharing data with third-parties is needed to protect your organization. Yet data cataloging tools don't detect those third-parties since they only scan databases.

Bearer detects external services so you can identify and mitigate third-party risks such as unauthorized data sharing, providers with insufficient security measures, legal liabilities, and more.

A pull request from Bearer in Github.

Bearer helps engineering and security teams work together

Developers are building your products, so they are your best source of truth to document security and privacy measures. Manual surveys and data cataloging tools can’t help you understand when and from which developer you need to collect this information.

By integrating with GitHub and GitLab, Bearer provides you with the context you need: whenever a new service or data usage is detected, you are instantly alerted and you can automatically collect the right level of information from the engineering owner.

Illustration of the DevSecOps symbol with two people working.

Bearer fosters a DevSecOps culture and drives proactive risk management

Manual surveys are useful at the product scoping phase. But risks should also be assessed in real-time, as your developers are coding, to avoid releasing vulnerable products.

Bearer allows you to assess risks during the entire software development lifecycle. You can even prevent developers from releasing code in production if your risk analysis is inconclusive.

Bring the speed of DevOps to data security

Bearer helps companies processing sensitive data identify and mitigate data security risks.