Our core mission at Bearer has always been focused on improving the developer experience. As we’ve evolved, that drive narrowed in on enabling development teams to strengthen their data security posture, while still maintaining the pace and agility needs of modern software. In an environment where data breaches and leaks are increasing rapidly year over year, it’s vitally important to detect sensitive data risks before they happen.

The JFrog Security Research team released the findings of a recent investigation wherein they uncovered thousands of publicly exposed, active API tokens. This was accomplished while the team tested the new Secrets Detection feature in the company’s JFrog Advanced Security solution, part of JFrog Xray.

Developing and testing a frontend feature can be difficult, especially when the backend it depends on is not ready. This dependency on a backend API often slows down the development process. In scenarios like this, developing a mock API can save you a lot of time by allowing you to develop your feature independent of the backend, and make it easier to test and identify scenarios where your API might fail before it is ready.

If you’re responsible for security, then you know how useful it is to have clearly-defined security policies that are simple to implement, scale, and verify. Product and AppSec teams know that great security policies empower teams to work autonomously so that work moves forward as it should. However, validating that your security policies are actually implemented is difficult.