Top 10 Canditech Proctoring Alternatives in 2026

As remote hiring scales and AI tools become more accessible, organizations are rethinking how they protect interview integrity. Traditional proctoring solutions often rely on browser restrictions, screen recordings, or manual invigilation. However, modern cheating tactics such as AI-generated responses, proxy candidates, deepfakes, and hidden collaboration tools require more advanced, behavior-driven detection systems.

As AI-assisted cheating and remote interview fraud continue to evolve, companies are actively searching for smarter alternatives to traditional proctoring tools. Modern hiring teams need platforms that go beyond browser restrictions and screen recording to verify real candidate authenticity. Recent industry reporting shows that concerns over AI-assisted fraud in hiring are rapidly shaping recruitment strategies. Industry surveys also show many hiring teams lack confidence in their ability to detect identity fraud, with only a small fraction feeling fully prepared to spot AI-driven deception during remote interviews.

In 2026, the conversation is no longer about whether cheating happens in remote interviews, but how intelligently it can be detected without harming candidate experience. Hiring teams must balance security with fairness, ensuring that assessments remain rigorous while avoiding invasive monitoring practices. The most effective Canditech alternatives now combine AI-driven behavioral analysis, real-time integrity signals, and seamless workflow integration to deliver both trust and transparency in the hiring process.

Below is a detailed look at leading alternatives, starting with a platform built specifically for the AI era of hiring.

Top 10 Canditech Proctoring Alternatives in 2026

In this guide, we explore the top Canditech proctoring alternatives in 2026 that combine AI-driven integrity detection, behavioral analysis, and seamless hiring workflow integration.

1. Sherlock AI

Sherlock AI is a purpose-built interview integrity and proctoring platform designed for remote hiring and high-stakes assessments. Unlike conventional solutions that rely heavily on lockdown browsers or passive monitoring, Sherlock uses a multimodal behavioral intelligence system to evaluate authenticity in real time.

The platform analyzes patterns across video, audio, device signals, response timing, and candidate interaction behavior. By correlating these signals throughout the entire interview, Sherlock detects sophisticated misconduct such as proxy participation, AI-assisted responses, synthetic identities, remote desktop usage, hidden collaborators, and scripted delivery.

Instead of flagging isolated actions, Sherlock AI evaluates consistency and reasoning patterns across the session. This approach reduces false positives and prevents penalizing natural behaviors like pausing to think or briefly looking away from the screen.

Key Features:

• Real-time AI misuse detection: Identifies response structures and timing irregularities that indicate potential external AI assistance.

• Proxy and impersonation safeguards: Monitors facial continuity, voice consistency, and presence signals to confirm a single individual participates throughout the session.

• Deepfake and synthetic identity detection: Detects manipulated video feeds, liveness inconsistencies, and visual overlays.

• Behavioral intelligence engine: Evaluates reasoning flow, speech alignment, gaze patterns, and interaction timing across the full interview.

• Device and system activity monitoring: Flags suspicious tab switching, hidden apps, virtual environments, and remote desktop indicators without requiring restrictive browser lockdowns.

• Environmental and audio analysis: Identifies overlapping voices, whisper prompts, or unusual background sound patterns that suggest outside assistance.

• Authorship validation for technical rounds: Aligns spoken explanations with on-screen actions to confirm genuine problem-solving.

• Live risk signals for interviewers: Provides real-time integrity indicators that help interviewers ask targeted follow-up questions.

• Post-interview integrity reports: Delivers structured summaries, behavioral insights, and risk scoring for confident decision-making.

• AI collaboration scoring: Optionally evaluates how effectively candidates use approved AI tools in role-relevant scenarios.

• Human-in-the-loop framework: All alerts remain advisory, ensuring recruiters retain final decision authority.

• Privacy-focused architecture: Prioritizes high-signal behavioral data over intrusive monitoring or excessive restrictions.

• ATS and calendar integrations: Seamlessly fits into existing hiring workflows without additional setup for candidates.

• Detection of hidden real-time assistance tools: Identifies covert usage of live AI suggestion platforms during interviews by analyzing response synchronization, behavioral mismatches, and interaction timing anomalies.

  
  Recognizes patterns associated with invisible prompt feeds or background answer generation systems.
  Helps ensure recruiters evaluate authentic skill demonstration rather than externally assisted performance.

Best For:

• Remote technical interviews and live coding sessions

• High-volume hiring environments with limited manual proctoring capacity

• Roles where authorship verification and real-time reasoning authenticity are essential

• Organizations seeking advanced interview integrity without browser lockdown restrictions

Sherlock AI represents a transition from surveillance-driven proctoring to behavioral authenticity verification. By combining real-time fraud detection, authorship validation, and seamless workflow integration, it enables hiring teams to make evidence-based decisions while maintaining a fair and candidate-friendly assessment experience.

Read more: How Sherlock AI Detects AI Interview Cheating in Remote Hiring

2. Talview

Talview offers a unified platform for remote hiring with automated proctoring and video interviewing capabilities. It combines AI-driven monitoring with live supervision to ensure test integrity without creating barriers for candidates. The system detects irregular behavior, unauthorized help, and identity mismatch in real time. Recruiters can customize test rules, scoring, and review flags through a centralized dashboard. Talview also supports asynchronous interviews, enabling on-demand candidate evaluation.

Key Features:

• AI proctoring: Monitors audio, video, and system activity to detect cheating behaviors.

• Live invigilation support: Allows human proctors to oversee sessions when required.

• ID and face match verification: Confirms candidate identity before and during an assessment.

• Interview analytics dashboard: Provides insights into candidate performance and risk flags.

• Asynchronous interviewing: Enables candidate submissions without requiring live scheduling.

3. Mercer | Mettl

Mercer | Mettl is an enterprise-grade assessment and proctoring platform trusted by global organizations. It uses AI and human-assisted monitoring to protect high-stakes exams and pre-employment tests. The system identifies suspicious behavior such as tab switching, secondary devices, and unexpected sounds. Mettl offers a large library of tests suitable for technical, cognitive, and job-specific skills. It also integrates smoothly with ATS systems and supports configurable test rules.

Key Features:

• Hybrid proctoring: Combines automated and manual supervision for flexible control.

• Anti-cheating safeguards: Detects unusual behavior involving multiple devices or hidden help.

• Extensive test library: Offers assessments across roles, industries, and skill types.

• Custom rule settings: Lets organizations define proctoring policies and risk thresholds.

• Integration capabilities: Works with existing HR systems for streamlined workflows.

4. iMocha

iMocha is a comprehensive skill assessment platform designed for talent evaluation and remote hiring. In addition to proctoring, it offers over 2,500 prebuilt tests across technical and non-technical domains. The platform uses behavior analysis and AI to maintain test integrity without intrusive restrictions. Recruiters benefit from advanced analytics and scoring to shortlist candidates objectively. iMocha also supports real-time coding environments and role-specific challenges.

Key Features:

• AI proctoring: Detects suspicious activity without using browser lockdowns.

• Vast test library: Includes skill tests tailored for multiple job domains.

• Real-time coding environment: Lets candidates write code within the assessment platform.

• Advanced analytics: Provides reliable scoring and performance breakdowns.

• Customizable test creation: Enables tailored assessments for unique hiring needs.

5. TestGorilla

TestGorilla is a user-friendly pre-employment test platform that helps hiring teams screen candidates quickly. It features proctoring measures that flag irregular behavior and unauthorized assistance. The platform offers over 350 scientifically validated tests covering cognitive, role-specific, and soft skills. Its intuitive dashboard allows recruiters to build test pipelines and compare candidate performance side by side. TestGorilla also supports video and AI-based behavioral questions for deeper insights.

Key Features:

• Automated integrity checks: Detects attempts to cheat or use external help.

• Large test library: Offers tests designed by subject matter experts.

• Video response questions: Lets candidates record answers for behavioral insights.

• Candidate score comparison: Helps hiring teams benchmark applicants easily.

• Custom test builder: Allows creation of tailored assessments.

6. CodeSignal

CodeSignal is an AI-native technical assessment platform focused on coding tests, interviews, and screening. Its evaluation engine considers correctness, efficiency, and execution behavior. The proctoring layer watches for anomalies such as tab switches, remote desktops, or collaboration signals. With real-time coding sessions and customizable scoring rubrics, CodeSignal supports both technical screening and pair programming interviews. Recruiters can integrate it into their ATS and hiring workflows easily.

Key Features:

• AI-assisted skill evaluation: Considers code quality, logic, and performance.

• Proctoring analytics: Flags suspicious actions during coding tests.

• Real-time coding sessions: Lets candidates write and test code live.

• Custom scoring rubrics: Tailors assessment criteria to role needs.

• ATS integrations: Syncs results with HR systems.

7. Honorlock

Honorlock focuses on academic and certification proctoring but is increasingly used in high-stakes hiring assessments. It blends AI monitoring with optional live proctors for strict security needs. The system can detect multiple types of cheating including mobile devices, unauthorized materials, and secondary screens. Its search and destroy tool helps identify leaked content being reused. Candidate experience is optimized with minimal installation and straightforward workflows.

Key Features:

• AI and human hybrid proctoring: Offers scalable oversight options.

• Device and browser activity monitoring: Identifies hidden tabs and external resources.

• Search and destroy leak detection: Spots reused or leaked exam content.

• Minimal candidate setup: Reduces friction with simple test access.

• Secure exam delivery: Ensures integrity for certification-level assessments.

8. ProctorU (Meazure Learning)

ProctorU specializes in live human proctoring for high-stakes tests and assessments. Each session is overseen by trained proctors who monitor behavior, environment, and compliance. The platform is ideal for organizations that require the highest assurance levels, such as certification bodies or regulated hiring. In addition to live supervision, ProctorU offers automated checks for preliminary integrity signals. Its robust process makes it particularly suitable where human judgment is critical.

Key Features:

• Live proctor supervision: Human monitors provide direct oversight.

• Automated pre-checks: Detects risk signals before human review.

• ID verification: Confirms candidate identity right before the session starts.

• Secure session controls: Monitors behavior throughout the assessment.

• Custom proctor workflows: Adapts guidelines to organizational policy.

9. Proctorio

Proctorio provides a fully automated AI-driven proctoring solution that minimizes manual oversight. It watches for behavioral patterns, audio anomalies, and system signals to detect cheating attempts. With privacy controls and configurable rules, organizations can balance security with candidate comfort. Proctorio is often chosen for its scalability and minimal manual effort. It works well for large volume testing where automation is key.

Key Features:

• Automated proctoring engine: Uses AI to detect integrity threats.

• Behavioral and environmental monitoring: Flags suspicious actions and audio signals.

• Configurable security levels: Lets organizations choose how strict checks should be.

• Privacy controls: Provides options to reduce perceived intrusiveness.

• Scalable architecture: Suited for large candidate volumes.

10. Codility

Codility is a technical hiring platform focused on evaluating coding skills with realistic tasks. Its proctoring layer monitors candidate activity and behavior during coding tests. The platform includes advanced analytics to assess logic, performance, and execution behavior. Recruiters can choose from prebuilt challenges or create custom problem sets. Codility also provides detailed reports that make decision-making easier for technical teams.

Key Features:

• Coding task evaluations: Assesses logic, correctness, and performance.

• Proctoring behavior flags: Detects proxy use or external tool interference.

• Custom challenge builder: Enables role-specific problem definitions.

• Real-time test monitoring: Watches system and candidate actions during assessments.

• Detailed candidate reports: Offers clear performance insights.

Choosing the Right Canditech Alternative for 2026

Selecting the right proctoring and interview integrity platform in 2026 is no longer just about preventing tab switching or recording screens. With AI-assisted answering tools, proxy candidates, synthetic identities, and remote collaboration becoming more advanced, organizations need solutions that verify authenticity at a deeper level.

However, as hiring shifts further into AI-native workflows, behavioral verification and real-time authorship validation are becoming critical differentiators. This is where Sherlock AI stands out. Instead of relying primarily on restrictive monitoring, it evaluates behavioral consistency, reasoning flow, device signals, and interaction patterns across the entire interview. The result is stronger fraud detection with fewer false positives and a more candidate-friendly experience.

Ultimately, the best Canditech alternative depends on your hiring volume, risk tolerance, and technical evaluation needs. If your priority is moving beyond surveillance toward intelligent authenticity verification, Sherlock AI offers a forward-looking approach built specifically for the AI era of hiring.