FIELD OF THE TECHNOLOGY DISCLOSED

The technology disclosed is related to application of machine learning techniques and use of non-deterministic biometric data to establish and use authentication credentials.

BACKGROUND

The subject matter discussed in this section should not be assumed to be prior art merely as a result of its mention in this section. Similarly, a problem mentioned in this section or associated with the subject matter provided as background should not be assumed to have been previously recognized in the prior art. The subject matter in this section merely represents different approaches, which in and of themselves can also correspond to implementations of the claimed technology.

In a post-COVID work environment, employers want to ensure that workers coming back to work are healthy. A worker can provide her health status and/or laboratory test results indicating that she is not infected with the virus. Authenticating that a valid worker is presenting this information presents many challenges. A central database storing workers' health and identification information may not be maintained due to privacy issues. The employer validating the worker's request needs to ensure that the client device is not presenting another user from the requesting worker's device and using worker's credentials to get access to the workplace. A validator may also be malicious and trying to log valid credentials to allow another user to bypass the system at a later time.

Accordingly, an opportunity arises to develop systems and methods to address the challenges of safely opening the places of work to workers without compromising the health and identification data of workers.

