Remote hiring has made recruitment faster, more flexible, and more scalable. But it has also created a new challenge for HR teams: how do you know the person completing the assessment or interview is the real candidate, using their real skills, without outside help?

Interview cheating is no longer limited to copying answers from another tab. Candidates may now use AI tools, second screens, proxy interviewers, hidden devices, deepfake technology, or pre-written scripts during live interviews and assessments. For recruiters, this creates a serious hiring risk. A candidate may perform well during the interview but struggle once hired because the assessment never reflected their actual ability.

That is why interview cheat detection software has become an important part of modern hiring. These tools help employers verify candidate identity, monitor suspicious activity, detect plagiarism, flag AI-assisted responses, review proctoring footage, and create a fairer process for honest applicants.

Below are the 10 best interview cheat detection software options for HR teams and recruiters.

1. HireVue

HireVue is a major enterprise hiring platform that combines video interviewing, assessments, job simulations, AI-scored interviews, technical assessments, and structured candidate evaluation. While it is not only a cheat detection platform, it can help companies reduce hiring fraud by creating more consistent and evidence-based assessments.

HireVue’s assessment platform includes game-based assessments, Virtual Job Tryout job simulations, AI-scored interviews, technical assessments, and language proficiency tests. These tools help employers evaluate candidates beyond resumes and reduce reliance on self-reported information.

HireVue has also published resources around cheating in hiring workflows, noting that dishonest candidate behavior can lead to costly mis-hires and create unfair outcomes for honest applicants.

HireVue is best for large organizations that want a structured hiring platform with assessment science, interview consistency, and enterprise workflows. It may not offer the same dedicated interview proctoring depth as tools built specifically for cheating detection, but it is valuable for employers that want to combine candidate evaluation, structured interviews, and risk reduction in one system.

Best for: Enterprise hiring teams that need structured video interviews, assessments, and consistent candidate evaluation.

2. CodeSignal

CodeSignal is a leading technical assessment platform with strong cheating and fraud prevention features for developer hiring. It is best suited for companies hiring software engineers, data professionals, and technical roles where coding ability must be validated remotely.

CodeSignal offers a Suspicion Score that helps identify possible code integrity issues. The platform uses multiple signals to flag suspicious activity and gives hiring teams a trust level for each submission. This allows recruiters and hiring managers to review questionable results instead of relying only on a pass-or-fail score.

CodeSignal also promotes fraud detection through telemetry, pattern analysis, AI proctoring, and full-service proctoring. Its cheating prevention capabilities include detecting AI misuse, suspicious behavioral patterns, and other integrity risks in online assessments.

The biggest advantage of CodeSignal is that it combines technical skill evaluation with integrity scoring. Instead of simply asking whether a candidate solved the problem, recruiters can also review how the candidate solved it, whether their behavior looked consistent, and whether there were signs of outside assistance.

Best for: Technical hiring teams that need coding assessments with strong cheating detection and reviewable integrity signals.

3. HackerRank

HackerRank is one of the most widely used technical hiring platforms, especially for coding assessments, developer screening, and engineering interviews. It includes plagiarism detection and integrity tools that help employers identify copied or suspicious code submissions.

HackerRank’s plagiarism detection product is designed to help employers maintain fairness in technical hiring by identifying suspicious similarities across code submissions. The platform highlights AI-powered plagiarism detection as part of its assessment integrity offering.

For companies running high-volume developer assessments, HackerRank can help reduce manual review time. Recruiters can use it to shortlist candidates, while hiring managers can review flagged submissions when something looks unusual. This is particularly useful for campus hiring, junior developer roles, and early-stage technical screening where many applicants may receive similar coding tasks.

HackerRank is best when used as part of a structured technical hiring process. It should not replace live technical interviews entirely, but it can help filter candidates and catch potential cheating before the final interview stage.

Best for: Companies hiring developers at scale and needing plagiarism detection for coding assessments.

4. HackerEarth

HackerEarth is another strong option for technical assessments and remote coding tests. It is especially useful for companies conducting campus hiring, hackathons, developer screening, and technical recruitment campaigns.

HackerEarth’s proctoring features include AI-powered proctoring, real-time monitoring, smart browser controls, video proctoring, audio proctoring, surprise questions, plagiarism checks, question pooling, shuffling, ID verification, and additional test controls.

These features make HackerEarth useful for preventing common forms of assessment cheating, such as tab switching, copying answers, sharing questions, using another person for help, or relying on AI-generated solutions. The platform is also helpful for large-volume hiring because recruiters can automate first-round assessments while still maintaining test security.

One of HackerEarth’s strengths is its broad technical hiring ecosystem. It supports coding challenges, assessments, hackathons, and developer evaluation workflows, making it more than just a proctoring tool. For HR teams hiring technical talent regularly, it can support both candidate screening and employer branding.

Best for: Technical recruitment teams running coding assessments, campus drives, and developer hiring campaigns.

5. CoderPad

CoderPad is well known for live technical interviews and coding assessments. It is a good choice for companies that want to observe how candidates think, code, debug, and communicate in real time.

CoderPad’s cheating prevention and detection features include plagiarism detection, abnormal performance detection, IDE exit tracking, copy-paste detection, and notifications when candidates submit code that matches previous submissions.

CoderPad also supports live interview integrity by allowing video and audio during interviews, helping interviewers confirm candidate presence and connect coding behavior with verbal reasoning. Its documentation notes that video and audio can help establish accountability and allow interviewers to monitor engagement during live technical interviews.

What makes CoderPad useful is that it supports a more realistic technical evaluation. Instead of relying only on multiple-choice questions or isolated coding tasks, interviewers can watch candidates solve problems, explain trade-offs, and respond to follow-up questions. This makes cheating harder because candidates must demonstrate understanding, not just produce an answer.

Best for: Live coding interviews, technical screening, and companies that want to combine skill evaluation with real-time observation.

6. TestGorilla

TestGorilla is a popular pre-employment assessment platform used by HR teams to evaluate skills, cognitive ability, personality traits, language proficiency, and role-specific knowledge. It includes several anti-cheating measures for remote assessments.

TestGorilla’s anti-cheating tools include webcam snapshots, full-screen tracking, tab-switching detection, webcam status monitoring, and developer tools detection. The platform captures candidate images at intervals and monitors whether candidates leave the test window or disable their camera.

This makes TestGorilla useful for general hiring teams that need a broad assessment platform rather than a technical-only tool. Recruiters can use it for sales roles, customer support, admin roles, marketing roles, finance positions, and other non-technical hiring needs.

However, TestGorilla is best for structured pre-employment assessments, not deep live interview proctoring. It gives HR teams helpful integrity signals, but companies hiring for sensitive or high-risk roles may still want additional identity verification or live proctoring.

Best for: HR teams that need broad skills testing with basic anti-cheating safeguards.

7. iMocha

iMocha is a skills assessment platform with strong proctoring capabilities for talent acquisition, learning and development, and workforce skills validation. It is especially useful for companies that want to test job-specific skills while reducing cheating risks.

iMocha’s cheating prevention features include candidate ID verification, safe assessment browser controls, screen integrity checks, question randomization, AI-based monitoring, webcam monitoring, screen activity tracking, tab-switch detection, and violation logs with timestamps.

The platform also supports copy-paste locking, audio, video, and image proctoring, IP range restriction, and government ID plus selfie verification. These features help prevent impersonation, hidden assistance, and unauthorized tool usage during assessments.

iMocha is a strong option for companies that care about skills-first hiring. It can help HR teams evaluate technical and non-technical skills while maintaining a secure assessment experience. Its timestamped violation logs are especially useful because recruiters can review exact incidents instead of guessing whether a result should be trusted.

Best for: Skills-first hiring teams that need AI proctoring, ID verification, and detailed violation logs.

8. Mercer | Mettl

Mercer | Mettl is a well-known online assessment and remote proctoring platform used for hiring, campus recruitment, certification exams, and enterprise assessments. It is a strong fit for organizations that need secure testing at scale.

Mercer | Mettl’s SecureProctor solution includes AI-assisted monitoring, live proctoring, advanced fraud detection, candidate authentication, and real-time supervision.

Its secure proctoring features also include AI-based proctoring, human proctoring, website and software disabling through a secure browser, and candidate authentication through OTP, email, and ID verification.

This makes Mercer | Mettl a good choice for companies that need stricter exam-style controls. It is particularly useful for campus hiring, certification-based roles, regulated industries, and large-scale assessments where test integrity is critical.

The platform may feel more formal than lightweight hiring assessment tools, but that is also its advantage. For organizations that need defensible, secure, and auditable online assessments, Mercer | Mettl offers a mature proctoring environment.

Best for: Enterprise assessments, campus hiring, certification-style tests, and high-security screening.

9. Talview

Talview is one of the strongest platforms for companies that want dedicated interview proctoring, not just basic assessment monitoring. It is built for secure remote interviews, assessments, and proctoring, making it useful for enterprises, universities, and high-volume hiring teams.

Talview’s interview proctoring includes AI-powered candidate verification, real-time monitoring, lockdown browser controls, secondary camera monitoring, multi-face detection, environment scans, and deepfake detection. These features make it especially useful for companies worried about proxy candidates, hidden help, or unauthorized AI tools during remote interviews. Talview also highlights real-time screen sharing and browser activity monitoring to detect external tools, browser plug-ins, or device switching during interviews.

What makes Talview stand out is its focus on interview integrity, not only test integrity. Many assessment platforms are built mainly for coding tests or pre-employment exams, while Talview extends fraud prevention into live and recorded interview workflows. For HR teams hiring remotely across regions, this can help reduce the risk of impersonation and ensure that candidates are evaluated fairly.

Best for: Enterprises that need AI proctoring, interview fraud detection, deepfake prevention, and secure hiring workflows.

10. Glider AI

Glider AI focuses on skill validation, technical hiring, candidate fraud detection, and interview integrity. It is designed to help companies confirm that candidates have the skills they claim and that the person completing the assessment is the same person moving through the hiring process.

Glider AI discusses candidate fraud as a growing issue in modern hiring and offers cheating analysis to help distinguish between accidental and intentional misconduct. Its platform also includes AI-driven setting analysis to monitor the candidate’s environment and identify unusual activity or unauthorized devices.

Glider AI is particularly relevant for companies hiring remote technical talent, contractors, and distributed teams. These hiring situations often carry higher fraud risk because the employer may never meet the candidate in person before making a decision.

The platform is useful when recruiters need more than a basic test score. It helps connect assessment performance, identity confidence, and fraud risk so hiring teams can make better-informed decisions.

Best for: Remote technical hiring, contractor screening, and companies concerned about candidate fraud.

How to Choose the Right Interview Cheat Detection Software

The best tool depends on the type of roles you hire for and the level of risk involved. A company hiring software engineers at scale may need CodeSignal, HackerRank, HackerEarth, or CoderPad. A company hiring across multiple departments may prefer TestGorilla, iMocha, or HireVue. An organization that needs strict identity checks, proctoring, and fraud detection may choose Talview, Mercer | Mettl, or Glider AI.

Before choosing a platform, HR teams should look at five areas.

• First, check the identity verification features. The software should help confirm that the person taking the assessment is the real candidate. Features like ID verification, webcam snapshots, facial comparison, OTP verification, and live camera checks can reduce impersonation risks.
• Second, review the monitoring signals. Good platforms track tab switching, full-screen exits, copy-paste behavior, multiple faces, background voices, screen sharing, second devices, browser activity, and suspicious response patterns.
• Third, consider the candidate experience. Heavy surveillance can make honest candidates uncomfortable. The best tools balance fraud prevention with transparency, accessibility, and human review.
• Fourth, look for reviewable evidence. A cheating flag should not automatically disqualify a candidate. Recruiters should be able to review timestamps, session recordings, violation logs, code playback, or integrity scores before making a decision.
• Finally, match the tool to the hiring workflow. Live interviews, coding tests, language assessments, campus hiring, and executive hiring all require different levels of control.

Final Thoughts

Interview cheat detection software is no longer a “nice to have” for remote hiring. As candidates gain access to AI tools, proxy interview services, second-screen setups, and deepfake technology, HR teams need better ways to protect hiring integrity.

The right platform does not just catch cheaters. It protects honest candidates, helps recruiters trust assessment results, and reduces the risk of costly mis-hires. For technical hiring, tools like CodeSignal, HackerRank, HackerEarth, and CoderPad are strong choices. For broader HR assessments, TestGorilla, iMocha, HireVue, and Mercer | Mettl offer scalable options. For dedicated interview proctoring and fraud prevention, Talview and Glider AI stand out.

The best approach is not to rely on one signal alone. Use cheat detection software as part of a structured hiring process that includes job-relevant assessments, clear candidate instructions, human review, and follow-up interviews that validate real-world ability.