Discover the 10 best interview cheating detection tools to identify proxy interviews, detect AI assistance, and protect remote hiring integrity at scale.
Abhishek Kaushik
Jan 29, 2026
Remote and virtual interviews have become the default for scaling hiring quickly. But that speed has created a blind spot. Surveys show that 71% of job seekers admit to cheating at some stage of the hiring process, including live interviews and assessments. Many openly acknowledge using external help such as search engines, scripts, or real-time assistance when it is not allowed.
Hiring teams feel this shift firsthand. In a Checkr survey, 59% of interviewers say they suspect candidates are using outside tools during live interviews, and more than one in three have encountered impersonation, where the person interviewing is not the person who eventually joins.
Traditional interviews are no longer enough to measure real skill or intent. Without detection safeguards, teams risk hiring candidates who cannot actually do the job, leading to poor performance, rehiring costs, and lost trust across the organization. In this blog, we break down the 10 best tools that help hiring teams protect interview integrity and make confident, evidence-based hiring decisions.
10 Best Interview Cheating Detection Tools
1. Sherlock AI - Intelligent Interview Integrity Protection
Sherlock AI is a dedicated interview cheating detection and protection platform built to keep remote hiring fair and reliable for talent teams. It works quietly in the background during live interviews to surface signals that suggest external assistance or fraud, while letting interviewers stay focused on evaluating skills and fit.
Sherlock AI integrates with calendars and video platforms like Zoom, Google Meet, and Microsoft Teams, automatically securing interview links and managing monitoring without disrupting your existing workflow. Once live, it uses machine-learning and behavioural analysis to track patterns that indicate cheating.
Key Features:
Real-Time Fraud Detection: Identifies signs of cheating such as unusual pauses, timing patterns, or inconsistencies between speech and visible activity.
Behavioural and Contextual Signals: Analyses eye movements, response timing, and reasoning consistency rather than relying on simple rule-based triggers. This helps reduce false positives and keeps the focus on meaningful signals.
Deepfake and Identity Manipulation Detection: Sherlock AI monitors liveness and facial behavior consistency to identify signs of face masking, synthetic overlays, or identity manipulation during live interviews.
Proxy and External Assistance Detection: Tracks subtle shifts in behaviour or output that suggest the candidate may be receiving help from another person or a hidden tool.
AI Fluency Scoring (Optional): For organisations that allow controlled AI use, Sherlock AI can evaluate how effectively a candidate uses those tools, providing extra insight rather than an automatic block.
Insights and Notes: Generates interview insights and structured notes that hiring teams can use to support decisions and document why a candidate’s performance looked the way it did.
Why Teams Use Sherlock AI
Sherlock AI is designed for modern remote and hybrid hiring environments, helping talent teams preserve the integrity of interviews without intrusive proctoring or excessive restrictions. By catching subtle patterns of external help, teams can avoid costly bad hires and ensure that interviews reflect a candidate’s real thinking and ability.
Best For: Recruiters, hiring managers, and HR teams conducting high-volume remote interviews who need trustworthy, evidence-based detection rather than basic screen blocks or manual guessing. Sherlock AI strikes a balance between candidate experience and robust integrity checks, making it suitable for organisations that value fairness and reliability.
2. Talview
Talview is a remote interview and assessment platform built to help hiring teams verify candidate identity and prevent cheating through AI-driven monitoring and proctoring. It blends behaviour analysis with environment and identity checks to ensure interviews reflect real candidate performance.
Key Features:
Identity & Deepfake Protection: Multi‑layered verification with face recognition, voice matching, and anti‑impersonation checks.
360° Environment & Secondary Camera Monitoring: Allows broader visibility of the candidate’s surroundings to catch unauthorized assistance or devices.
Real‑Time Browser & Behaviour Alerts: Lockdown browser and live device/activity alerts help detect cheating attempts like tab switching or external tools.
Live Screen Share: Lets interviewers watch candidate screens in real time to spot access to unauthorized resources.
3. HireVue
HireVue is a video interviewing and assessment platform that helps teams screen candidates at scale while incorporating tools to promote fairness and reduce opportunities for cheating. It supports both on-demand and live interviews and offers built-in checks that help hiring teams review candidate behaviour during assessments.
Key Features
Candidate Snapshot Verification: Takes periodic images during interviews so reviewers can confirm the same person remains in front of the camera.
Browser Focus and Behaviour Signals: Tracks if candidates switch tabs or windows, which can signal looking up answers during assessments.
Shared Script/Cheating Detection: Analyses similarity patterns to help uncover cases where responses are unusually alike across candidates.
Custom Disclosure Agreements: Lets teams present pre-interview honesty expectations to make candidates aware of integrity policies.
4. Codility
Codility is a skills-based coding assessment and interview platform that helps hiring teams evaluate engineering candidates while adding layers of integrity monitoring to reduce cheating and fraud. It blends proctoring signals, identity checks, and plagiarism analysis into the assessment and live interview experience.
Key Features
Browser Behaviour Signals: Detects tab switching, focus loss, and copy/paste events during live interviews or coding sessions to flag possible external assistance.
Plagiarism and Similarity Checks: Cross-references submitted code against a large database of past submissions and known leaks, alerting hiring teams to potential copied solutions.
Identity Verification: Optional photo ID and selfie checks help confirm that the person completing the assessment matches the registered candidate.
IP and Session Monitoring: Flags when tests are accessed from different locations or devices mid-session, which can indicate forwarded or shared assessments.
5. VidCruiter
VidCruiter is a full-feature interview and assessment platform to run structured live or pre-recorded interviews while protecting assessment integrity with fraud detection and proctoring controls. Its fraud features are designed to help recruiters identify impersonation, cheating, and manipulated responses during remote evaluations.
Key Features
Advanced Fraud Detection: Detects deepfakes, identity anomalies, and impersonation with multi-layered verification technology.
Browser & Environment Monitoring: Locks down browsers during assessments and flags attempts to navigate away from the test.
Copy-Paste and Response Controls: Blocks copy-paste actions and enforces original responses to help ensure candidates are answering legitimately.
ID Verification & IP Monitoring: Verifies candidate identity with controlled recordings and tracks IP or VPN use to flag suspicious sessions.
6. Proctorio
Proctorio is a remote proctoring platform that helps organisations maintain the integrity of online assessments and interviews by combining automated behaviour tracking with secure monitoring tools. It is built to detect unusual patterns or actions that may indicate cheating or unauthorized assistance during live or recorded sessions.
Key Features
Automated Behaviour Monitoring: Tracks eye movement, head pose, and facial behaviour to flag signs of external help or unnatural patterns.
Secure Browser & Lockdown Tools: Prevents candidates from accessing unauthorized websites, applications, or resources during an interview or test.
Environment and Room Scanning: Uses on-camera prompts to capture the candidate’s surroundings and identify potential hidden assistance or devices.
Identity Verification: Confirms candidate identity with photo ID checks and live image capture throughout the session.
7. CoderPad
CoderPad is an interactive technical interview and coding environment used to evaluate candidates in real time. While its focus is on live collaboration and execution of code, it also offers features that help hiring teams observe behaviour and discourage cheating during technical interviews.
Key Features
Live Coding Monitoring: Interviewers can watch candidate activity in real time, making it harder to hide external assistance.
Session Playback: Review full session history, including code edits and cursor movement, to detect unnatural patterns or unexpected breaks.
Browser and Focus Alerts: Flags when candidates switch tabs or leave the coding interface, which can indicate looking up answers.
Execution Transparency: Immediate code output and logging make it obvious when solution logic isn’t consistent with candidate actions.
8. HackerEarth
HackerEarth is a technical hiring and coding assessment platform that supports live and take-home tests while offering proctoring and behaviour monitoring features to help reduce cheating and unfair assistance. It blends automated signals with reviewer tools so hiring teams can see not just results, but flags that may indicate integrity issues.
Key Features
AI-Assisted Proctoring: Monitors webcam, screen activity, and audio to detect suspicious behaviour during live or recorded assessments.
Browser & Tab Tracking: Flags when candidates switch tabs or lose focus, which can suggest outside help or resource lookup.
ID Verification: Confirms candidate identity through controlled document capture and face match checks.
Session Logs & Reports: Provides detailed activity logs and flagged events for recruiter review after the assessment.
9. ProctorU
ProctorU is a remote proctoring solution that provides both live proctors and automated monitoring to ensure candidates are genuinely taking interviews or assessments without unauthorized help. It is widely used in academic and certification settings and is increasingly adopted by hiring teams to raise confidence in remote evaluations.
Key Features
Live Proctor Oversight: Trained proctors observe candidate webcams and screens in real time for signs of cheating or outside assistance.
Automated Behaviour Monitoring: Flags unusual actions such as multiple people in view, off-screen activity, or repeated eye diversion.
Secure Browser & Lockdown Mode: Prevents access to other websites, applications, or tools during the interview session.
Identity Verification: Confirms candidate identity using government ID and live facial comparison.
10. VidCall
VidCall is a cloud-based video conferencing and virtual meeting solution that organisations can use to conduct remote interviews. While it is not a dedicated cheating detection system, it offers security and session controls that support fair interview conditions when used alongside other monitoring or proctoring tools.
Key Features
Secure WebRTC Video & Audio: Uses secure real-time communication technology to protect interview sessions from unauthorized access and tampering.
Meeting Transcription & Insights: Automatic transcription and speaker tagging help recruiters review dialogue more thoroughly after interviews.
Branding & Meeting Controls: Customise interview rooms and manage participant access to maintain a professional and structured interview experience.
Screen Sharing & Collaboration Tools: Enable interviewers to request screenshares or shared whiteboards, which can help reveal known-real-time behaviour.
Conclusion
In today’s remote and hybrid hiring world, interview integrity is no longer optional. Candidates have access to tools and techniques that can compromise assessments, from hidden assistants to deepfake impersonation. Using the right detection and proctoring solution like Sherlock AI, ensures that hiring teams can rely on authentic candidate performance, make fair decisions, and reduce the risk and cost of bad hires.
Selecting the right platform depends on your team size, technical requirements, and interview format, but investing in integrity tools is a crucial step toward trustworthy, scalable, and fair hiring.
