Job interview cheating happens when a candidate uses unauthorized assistance — such as AI tools, another person, or external software — during an interview without the recruiter’s permission. This compromises the fairness and integrity of the hiring process. Common methods include AI copilots or cheat panels that suggest answers in real time, and remote desktop or screen-sharing apps that let someone else control the candidate’s computer. You can check the list of job interview cheating tools here and the potentially harmful desktop software here.

Some dishonest SaaS providers now sell “interview copilots” — cheating tools that run in stealth mode on a candidate’s computer during live interviews. These panels suggest answers or solutions in real time on the candidate's screen, but remain invisible from the interviewer. Even if the candidate shares their entire screen on Zoom, Teams, Meet, or WebEx, the cheating panel won’t appear. That’s because these tools hook into the native operating system, bypassing what normal screen sharing can capture.

Impersonation happens when someone other than the actual candidate pretends to attend the interview. This could be a friend or colleague who takes the interview on the candidate’s behalf, a “professional interviewer” hired to answer technical questions, or a candidate using fake or borrowed identity documents to appear as someone else. Impersonation undermines the integrity of the hiring process because the recruiter evaluates the wrong person. Without proper detection, companies may end up hiring unqualified candidates, exposing themselves to wasted time, lost resources, and potential security risks.

Hyproctor runs as a lightweight app on the candidate’s device during the interview. It works at the native operating system level, so it can see what Zoom, Meet, Teams, and WebEx cannot. Hyproctor detects cheating and impersonation through multiple layers of checks:
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Process monitoring – flags known cheating apps, virtual cameras, and suspicious device setups.

Network validation – scans active connections and compares them against a blacklist of IP addresses linked to cheating services.

Real-time screenshots – captures true OS-level screenshots (not just the sandboxed meeting window) to reveal hidden “invisible” copilots or cheat panels.

AI review – an LLM analyzes screenshots to identify unfamiliar cheat sheets, then shares flagged evidence with the recruiter for final judgment.Impersonation signals – detects remote desktop tools, multiple device interference, or suspicious environment setups that suggest someone else may be controlling or assisting.

Hyproctor never automatically disqualifies candidates — it provides transparent alerts and evidence so recruiters can make the final hiring decision with confidence.

No. Hyproctor never records interviews, collects biometrics, or stores personal information. All checks are performed on a one-time basis: candidate data is used only during the live session and never saved. Recruiters only receive non-sensitive alerts if something suspicious is detected. This approach ensures full GDPR/CCPA compliance and protects candidate privacy.

Hyproctor is designed to minimize both. Known cheating tools are detected with high accuracy. For unknown tools, our AI reviews screenshots to identify suspicious “cheat sheets.” Even then, the recruiter always makes the final decision — candidates are never automatically disqualified.

Hyproctor works with all major interview platforms — including Google Meet, Zoom, Microsoft Teams, and WebEx. It doesn’t replace the tools you already use. Instead, it adds a powerful security layer on top, giving recruiters protection against hidden cheating apps while still using their preferred video platform.

We offer a Free version (no sign-up, no credit card required) for occasional use. Our Pro plan starts at $49/month, which includes advanced hacker-proof solution and detection capability. Enterprises can contact us for custom contracts with pooled usage and exclusive app builds.

Hyproctor is lightweight and quick to run. If a candidate refuses, recruiters can note that as part of the evaluation process. In our experience, most honest candidates welcome the tool because it ensures a fair interview environment.

We continuously update our blacklist of known cheat apps and IP addresses. For unknown threats, Hyproctor’s AI checks candidate screens in real time. We also rotate signed builds for paid users, making it extremely difficult for hackers to bypass our system.

Subscriptions provide access to Hyproctor for the period you select (monthly or annual). In principle, subscription payments are non-refundable once processed, regardless of usage or accidental purchase. For annual plans, we may review account activity and, at our sole discretion, consider a partial refund of up to 50% of the total amount. However, refunds are not guaranteed.

With the free version, candidates share their entire screen and follow instructions on our public proctor page. Recruiters see potential flags through desktop notifications and the proctor app view from the candidate’s computer. We rotate the public app frequently to discourage tampering, but advanced hackers could still attempt bypasses (e.g., replacing the shareware silently or disabling notifications).

With the paid versions (Pro and Enterprise), you receive an exclusive, signed app built only for your account or organization, branded with your name or logo in the UI. This app uses unique cryptographic protocols, making it nearly impossible for hackers to interfere before the interview. Exclusive builds are regularly rotated, so even tech-savvy candidates cannot prepare exploits in advance. Additionally, recruiters can review alerts both from the candidate’s computer and directly on the proctor page, which prevents hackers from suppressing notifications. Functionality is the same as the free version, but the security level is far stronger.