How to Proactively Mitigate Cheating in Your Technical Hiring

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It’s “the AI era”—and you’re not the only recruiter worrying about cheating. 

Ultimately, yes, AI does offer new possibilities for candidate cheating. Especially in tech. 

But possibilities have always existed, for the minority who’re determined to cheat.

You don’t need to blow the problem out of proportion.

You need what you’ve always needed. An awareness that cheating can happen; an understanding of the warning signs; a grasp on mitigation techniques; and then rolled up sleeves to get on with hiring as usual. 

So let’s get practical about cheating. Join us as we dive into a range of features, best practices, and real-world examples aimed at building a hiring process that’s fair, efficient and resilient. 

We’ll dig into:

• Anti-cheat policies: what does good look like? (incl. our framework)
• Key characteristics of a cheat-resistant, realistic and engaging coding assessment (incl. question examples)
• How transparent communication and expectations can deter cheating attempts (incl. messaging templates)
• An overview of anti-cheat tooling and features (incl. live demo)
• Handling suspicious behavior: tips for following up on suspected cheating (incl. step-by-step breakdown)