Prevent Cheating in Assessments with Proven Anti-Cheat Solutions

In the era of generative AI, cheat prevention in online employment tests is more critical than ever. With LLM tools like ChatGPT and other AI-based platforms readily available, candidates can easily access assistance to answer test questions or solve problems. This access risks undermining the accuracy of assessments, making it harder for employers to gauge a candidate’s genuine abilities. Strong anti-cheating measures uphold the integrity of testing, ensuring results truly reflect each individual’s skills and helping employers make fair, reliable hiring decisions.

We would all like to hope that candidates would not choose to cheat, however, this is not the case when the stakes are high and there is a guarenteed way to boost your scores.

1. Using Generative AI Tools: Candidates might use AI like ChatGPT to generate answers or complete tasks, particularly in text-based assessments or those requiring problem-solving.
2. Searching the Web During Tests: Without browser-locking features, candidates can look up answers online, especially for knowledge-based questions.
3. Enlisting Outside Help: Candidates may have someone else take the test on their behalf or receive real-time help through screen sharing.
4. Sharing Test Content: Some candidates attempt to remember or document test questions and answers to share with others, making it easier for future test-takers to prepare unfairly.

Candidates may exploit LLM AI tools, online resources, or collaboration to cheat. Our solutions detect and prevent these methods, ensuring fairness and accuracy.

Here are several advanced measures to prevent cheating:

This feature detects if a candidate’s mouse moves outside the test window, helping prevent them from opening additional tabs or browsers during the assessment.

We monitor the time candidates take on each question, flagging instances of excessively short or long responses, which may suggest cheating attempts.

Candidates may be asked to retake shorter, in-person assessments at an assessment center. This step verifies that their online scores align with in-person performance, ensuring consistency and authenticity.

Our vast question bank features hundreds of questions, allowing each candidate to receive a unique combination. This deters candidates from looking up answers, as trying to locate responses among hundreds of questions would waste valuable time on a test with strict time limits.

Other Cheating Prevention Methods We Avoid (for Candidate Experience)

There are other cheat prevention methods that some providers use, however we believe these negatively affect the candidate experience too much. These methods may include:

Our approach combines advanced anti-cheating measures with respect for candidate experience, ensuring assessments are fair without unnecessary pressure or intrusions.

If you want a fully AI-resilient assessment where you don't need to worry about all these features and the possible candidate experience affects they could have, then we do have a solution for that...

Our traditional assessments are AI-resilient, with mouse-outside-window detection, time tracking unusual patterns, and other measures described above. Our assessments ensure that candidates are not able to cheat using LLM AI tools. Equally, our game-based assessments feature dynamic, on-screen elements that require real-time human interaction – making them unable for AI tools to replicate. Protect the integrity of your hiring process with secure, cheat-resistant technology, while delivering a seamless and fair candidate experience.

Prevent AI cheating

Our dynamic assessments cannot be answered by LLM AI tools.

AI-Resilient Assessments