Evalart implements various systems to prevent candidates from cheating. Although it is not possible to prevent all cases, several possible forms of cheating are detected. In case one of your candidates exhibits suspicious behavior, we will contact you to notify you about the specific case.
Some measures that Evalart has in place to prevent candidates from cheating include:
1. Time control during the test: Evalart allows measuring the time the candidate spends outside the test. For example, if they switch tabs or open another browser while taking the Evalart test. This helps to control if the candidate might be accessing online resources for answers.
2. Web monitoring: Optionally, you can configure your selection processes to allow Evalart to take photos of the candidate during the test (with the candidate's consent). Using artificial intelligence, Evalart evaluates whether the same person is taking the test or if there are multiple individuals involved. If any suspicious activity is detected, you will be able to review the photos and decide if there was indeed any suspicious behavior. Please refer to:
How to enable candidate web monitoring.
3. For programming questions, the platform validates if there is code that closely resembles the code of other candidates. If the similarity algorithms find anything suspicious, the platform will show you both versions of the code so you can decide if it should be considered a copy or not.
Evalart employs additional methods as well, but we cannot disclose all the methods used to detect fraud attempts publicly as it would make it easier to evade them. However, we constantly evaluate and refine these measures.