Top 10 Equip Proctoring Alternatives in 2026

Remote assessments are only as reliable as the proctoring behind them. While platforms like Equip provide structured testing environments, many organizations find that basic monitoring features such as webcam recording and browser restrictions are no longer sufficient to detect advanced cheating methods like proxy test-takers, AI-generated responses, hidden collaborators, or remote desktop usage.

As remote hiring scales, recruiters need proctoring solutions that go beyond passive surveillance and deliver real-time behavioral insights, identity verification, and environment intelligence without disrupting the candidate experience. This has led talent teams to explore more advanced alternatives that integrate seamlessly with their assessment workflows while providing stronger integrity safeguards.

In this blog, we’ll cover the top 10 Equip proctoring alternatives that help organizations secure online assessments, detect sophisticated fraud attempts, and make confident hiring decisions in remote-first environments.

Top 10 Equip Proctoring Alternatives

Not every proctoring solution is built to handle the complexity of modern remote assessments.

Here’s a curated list of 10 powerful alternatives that deliver stronger monitoring, smarter fraud detection, and seamless test experiences:

1. Sherlock AI

Sherlock AI is a purpose-built AI interview integrity and proctoring platform designed specifically for remote hiring and high-stakes assessments. Unlike traditional proctoring tools that depend on browser lockdowns, screen recordings, or manual invigilation, Sherlock uses a multimodal behavioral intelligence engine to analyze how candidates think, speak, and interact in real time.

Sherlock AI correlates signals from video, audio, device activity, response timing, and interaction patterns to detect sophisticated cheating tactics such as proxy test-takers, AI-assisted answers, deepfakes, remote desktop usage, hidden collaborators, and scripted responses.

This pattern-based approach evaluates consistency across the entire interview rather than flagging isolated actions, which helps reduce false positives and avoids penalizing natural behaviors like looking away while thinking.

Key Features

• Real-time AI cheating detection: Identifies AI-generated responses, abnormal response latency, and structured answer patterns that indicate external assistance.

• Proxy and impersonation detection: Uses facial continuity, voice pattern matching, and presence tracking to ensure the same individual participates throughout the session.

• Deepfake and synthetic identity protection: Detects liveness inconsistencies, face overlays, and manipulated video feeds.

• Behavioral intelligence engine: Analyzes reasoning flow, speech consistency, gaze direction, and interaction timing across the full interview.

• Device and system activity monitoring: Flags tab switching, hidden applications, virtual machines, and remote desktop signals without enforcing intrusive lockdowns.

• Environmental and audio context analysis: Detects overlapping voices, whisper coaching, and background anomalies that suggest external help.

• Authorship validation for technical rounds: Correlates spoken reasoning with on-screen actions to confirm the candidate is genuinely solving the problem.

• Live risk alerts for interviewers: Provides real-time integrity signals so interviewers can probe deeper when suspicious patterns appear.

• Post-interview integrity reports: Delivers structured evidence, behavioral summaries, and risk scoring for faster hiring decisions.

• AI fluency scoring (optional): Measures how effectively candidates use permitted AI tools, helping teams assess real-world AI collaboration skills.

• Human-in-the-loop decision framework: All flags are advisory, ensuring recruiters retain full control over final hiring outcomes.

• Privacy-first, candidate-friendly design: Focuses on high-signal behavioral data instead of excessive surveillance or rigid restrictions.

• Enterprise-grade controls: Role-based access, audit logs, and configurable data policies for compliance and governance.

• Seamless ATS and calendar integration: Auto-joins interviews and fits into existing workflows without additional setup for candidates.

Best For

• Remote technical interviews and live coding sessions

• High-volume hiring with limited manual proctoring capacity

• Roles where authorship and real-time reasoning authenticity are critical

• Organizations seeking AI-era interview integrity without browser lockdowns

Sherlock AI represents a shift from surveillance-based proctoring to behavioral authenticity verification. With real-time fraud detection, authorship validation, and seamless integration into live interview workflows, it enables hiring teams to make confident, evidence-based decisions while maintaining a fair and candidate-friendly assessment experience.

👉 Sherlock AI (Anti-Interview-Fraud) Security Overview

2. Honorlock

Honorlock is an AI-powered remote proctoring solution widely used for online exams and certification tests. It combines automated monitoring with on-demand human proctor intervention to detect suspicious behavior during assessments while maintaining a relatively seamless test experience.

Key Features

• AI webcam and audio monitoring with automated flagging

• On-demand live proctor intervention when risk is detected

• Browser lockdown via Chrome extension to restrict navigation

• Environment and ID verification before test start

• Post-exam recordings and incident reports for review

3. Talview

Talview is an AI-powered remote proctoring platform that supports automated, live, and record-and-review exam monitoring. It is designed for enterprise hiring and large-scale assessments, offering flexible proctoring modes and detailed session analytics.

Key Features

• AI-based face and ID authentication for candidate verification

• Automated, live, and record-and-review proctoring options

• Browser activity and tab-switch monitoring

• Real-time suspicious behavior alerts

• Scalable proctoring for high-volume assessments

4. Proctorio

Proctorio is an automated remote proctoring solution that uses AI-driven monitoring and browser controls to secure online exams. It focuses on scalability and fully automated invigilation without requiring live human proctors.

Key Features

• AI-based webcam, audio, and screen monitoring

• Browser lockdown with website and application blocking

• Identity verification using face detection and ID checks

• Automated flagging of suspicious behavior

• Detailed post-exam analytics and recordings

5. Examity

Examity is a remote proctoring platform that offers live, automated, and record-and-review proctoring services. It is widely used for high-stakes exams where human proctor oversight and identity verification are critical.

Key Features

• Live human proctoring with real-time intervention

• Multi-step identity verification including ID and biometric checks

• Browser lockdown and screen monitoring

• Automated session recording for audit trails

• Detailed incident reports and exam analytics

6. HackerRank

HackerRank is a developer assessment platform that includes built-in proctoring controls for remote coding tests. It focuses on maintaining test integrity through activity monitoring and plagiarism detection while providing a structured coding environment.

Key Features

• Webcam snapshots during assessments for identity checks

• Tab-switch and browser activity detection

• Plagiarism detection through code similarity analysis

• IP and location tracking for anomaly identification

• Full-screen enforcement to reduce multitasking

7. HireVue

HireVue is a video interviewing and assessment platform that includes built-in monitoring and authentication features for remote hiring. It focuses on structured interviews, identity verification, and session recording rather than traditional exam-style proctoring.

Key Features

• Video interview recording with playback and review tools

• Identity verification through ID and facial matching

• Structured interview workflows with standardized questions

• Automated interview analytics and scoring insights

• Secure browser environment for assessments

8. Vervoe

Vervoe is a skills assessment platform that uses task-based evaluations and automated grading to help employers screen candidates remotely. It includes basic integrity controls and activity tracking to support fair and structured assessments.

Key Features

• Auto-graded skill assessments with customizable tasks

• Time tracking and activity monitoring during tests

• Question randomization to reduce answer sharing

• Plagiarism detection for written and coding responses

• Video response questions with playback for review

9. TestDome

TestDome is a pre-employment testing platform that offers coding, aptitude, and skill-based assessments with built-in anti-cheating controls. It emphasizes automated evaluation and structured test environments while providing basic monitoring features for remote hiring.

Key Features

• Webcam snapshots during tests for identity verification

• IP and location tracking to detect suspicious access patterns

• Question randomization to prevent answer sharing

• Time limits per question to reduce external assistance

• Plagiarism detection for coding and written responses

10. Codewars

Codewars is a developer skill assessment platform based on real-world coding challenges and community-driven problems. While not a traditional proctoring tool, it supports structured evaluations and activity tracking that help recruiters review candidate coding behavior.

Key Features

• Hands-on coding challenges in multiple languages

• Solution playback to review coding approach

• Time tracking per challenge for behavior insights

• Code comparison through community solutions

• Custom challenge creation for role-specific assessments

Conclusion

Choosing the right Equip proctoring alternative comes down to the level of integrity assurance your assessments require. While many platforms offer essential controls like browser lockdowns, webcam monitoring, and plagiarism detection, these measures are often limited to surface-level activity tracking and post-test review. As remote hiring evolves, organizations need solutions that can detect AI-assisted responses, proxy participation, and hidden collaboration in real time without disrupting the candidate experience.

This is where a behavioral, interview-focused layer such as Sherlock AI becomes especially valuable, verifying not just the testing environment but the authenticity of the candidate’s reasoning and responses during live interactions. Combining a strong assessment platform with advanced integrity intelligence ensures fair evaluations, protects hiring quality, and builds trust in remote-first recruitment.

Ultimately, the best approach is one that integrates smoothly into your existing workflows, scales with hiring demand, and provides actionable insights rather than just recordings, so your team can make faster, more confident, and evidence-based hiring decisions.