Security and content protection by test environment analysis

A system, comprising:

• a server computer communicatively coupled to a network and in communication, via the network, with a candidate client device, the candidate client device including a data capture device configured to record data from an environment of the candidate client device, the server computer being configured to:
• receive, via the network, the data from the environment of the candidate client device, extract a first attribute from the data,
• implement a machine learning engine to determine that the first attribute violates a first condition by determining, based on a feature vector including a plurality of features that are extracted from the data from the environment of the candidate client device that the candidate client device is in an unsuitable testing environment, and
• generate an alert indicating that the candidate client device is in an unsuitable testing environment.

A method, comprising:

• receiving, via a network, data captured from an environment of a candidate client device, the candidate client device including a data capture device configured to record the data from the environment of the candidate client device;
• extracting a first attribute from the data;
• implementing a machine learning engine to determine that the first attribute violates a first condition;
• and
• generating an alert indicating that the candidate client device is in an unsuitable testing environment.