AI Proctoring

Protect online assessments with identity checks, session monitoring, evidence, and structured review.

Protect online assessments with CloudTest AI Proctoring through candidate identity verification, webcam monitoring, face-presence checks, multiple-person detection, browser-focus tracking, tab-switch monitoring, fullscreen-exit detection, copy-paste controls, suspicious-event flagging, session evidence, configurable review rules, AI-assisted analysis, and detailed proctoring reports for recruitment tests, academic exams, certification programmes, remote assessments, and high-volume screening.

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Identity verification Webcam monitoring Browser activity signals Evidence-based review

Laptop workspace prepared for a remotely proctored online assessment

LIVE assessment-session / candidate-2741 / secure-exam-environment Monitoring active

Candidate Verification Pass Illustrative

Assessment candidate

Identity and environment checks completed before the test begins.

FACE Face presence Verified

CAM Camera access Ready

MIC Microphone check Ready

ENV Exam environment Cleared

Illustrative session profile

Review attention indicator

32 review index

Signals can be grouped for human review instead of being treated as automatic proof of misconduct.

Illustrative event evidence

10:14 Fullscreen active Clear

10:27 Browser focus changed Review

10:41 Candidate returned Logged

Assessment integrity evidence Identity, face presence, camera status, browser focus, fullscreen activity, copy-paste behaviour, session events, timestamps, and structured review

Verified Candidate identity

Active Webcam session

Logged Browser events

Ready Review report

Candidate verification passport

Prepare the candidate and assessment environment before monitoring begins

Configure candidate authentication, system checks, camera and microphone permissions, environment instructions, browser controls, consent notices, assessment rules, and support guidance before the test starts.

VERIFY

Create a clear, consistent, and candidate-friendly entry process.

Strong proctoring starts before the first question. Candidates should understand the required equipment, monitoring rules, permitted behaviour, privacy notice, available support, and accommodation process.

Confirm candidate access and identity

Validate the assessment invitation, candidate details, login session, permitted attempt, and configured identity-check process.

Access verified Candidate matched

SYS

Check device, browser, camera, and microphone

Confirm browser compatibility, network readiness, camera access, microphone access, fullscreen capability, and required permissions.

System ready Equipment validated

ENV

Present environment and assessment instructions

Explain permitted materials, desk setup, interruptions, additional devices, browser restrictions, support steps, and expected conduct.

Rules accepted Candidate informed

CONS

Provide privacy, consent, and accommodation information

Communicate which session signals may be collected, how they are reviewed, the retention policy, available assistance, and approved accommodations.

Consent recorded Review policy shown

START

Launch the protected assessment session

Begin monitoring only after required checks are complete and provide a clear support route if the candidate experiences technical difficulties.

Session opened Monitoring enabled

Live monitoring canvas

Capture assessment activity without interrupting the candidate flow

Monitor configured webcam, face-presence, browser-focus, fullscreen, copy-paste, visibility, and session signals while the candidate continues working through the online assessment.

EXAM Secure online assessment session 42:18 remaining

Question 18 Current progress

Technical Assessment section

Auto-saved Response status

Illustrative assessment question

Which deployment strategy provides a controlled way to expose a new application version to a limited percentage of users?

Select the most suitable option based on progressive release and risk control.

A Recreate deployment

B Canary deployment

C Manual server replacement

D Unversioned direct deployment

Previous Save and Next

FACE Candidate presence detected

CAM Camera signal Active

FACE Face presence Present

FULL Fullscreen state Active

TAB Browser focus Focused

CLIP Clipboard event None

LIVE

Convert session signals into a reviewable evidence trail.

AI-assisted proctoring can help organize events by time, type, duration, frequency, and configured review priority. A flagged event should be interpreted with context, accessibility needs, connectivity conditions, and human judgement.

FACE Records configured face-presence and multiple-person signals

TAB Tracks browser-focus changes and fullscreen exits

TIME Connects each event with timestamp and duration evidence

REV Groups selected events for structured human review

Proctoring signal library

Configure the evidence that matters for each assessment

Select identity, video, browser, device, behaviour, and environment signals based on the assessment purpose, risk level, candidate population, privacy policy, accessibility requirements, and review process.

ID Verification

Candidate identity and session access

Confirm candidate details, test invitation, authentication, permitted attempt, configured identity check, and session continuity before and during the assessment.

FACE Webcam

Face presence and multiple-person signals

Record configured face-presence, candidate absence, multiple-face, camera interruption, and visibility events with timestamps for later review.

TAB Browser

Browser focus and fullscreen activity

Detect configured tab switches, window focus changes, fullscreen exits, page visibility changes, repeated navigation events, and assessment interruptions.

CLIP Controls

Copy, paste, keyboard, and restricted actions

Apply configured clipboard restrictions, record copy-paste attempts, control selected keyboard actions, and log restricted behaviour where technically supported.

ENV Environment

Candidate environment and interruption context

Provide setup instructions and record configured environment, visibility, interruption, camera, audio, or additional-person signals for contextual review.

AUDIT Evidence

Time-linked session evidence and reviewer notes

Organize selected events, durations, repeated signals, reviewer comments, candidate explanations, decision notes, and audit history into one report.

Evidence review room

Review session events in context before making an integrity decision

Bring identity checks, browser events, webcam signals, durations, repeated patterns, technical interruptions, candidate explanations, and reviewer notes into one chronological assessment record.

REV Candidate assessment evidence timeline Human review

58 minutes Session duration

4 events Review queue

Verified Candidate identity

Completed Assessment status

The assessment contains two browser-focus changes, one brief candidate absence, and one camera interruption.

The reviewer can examine timestamps, durations, repeated behaviour, technical context, candidate explanation, and the surrounding assessment activity before recording a decision.

10:00 ID

Candidate verification completed

Access, camera, microphone, face-presence, and assessment instructions were completed.

Clear

10:18 TAB

Browser focus changed for eight seconds

A single focus change was logged and the candidate returned to the assessment.

Review

10:31 FACE

Candidate face absent for twelve seconds

The absence was brief and did not repeat during the remaining assessment.

Review

10:43 CAM

Camera stream interrupted and restored

The connection resumed automatically after a brief technical interruption.

Context

10:58 END

Assessment submitted successfully

Session evidence and reviewer queue were generated after final submission.

Complete

Organize evidence for review without treating every flag as a violation.

AI-assisted analysis can help prioritize events by configured rules, frequency, duration, and combinations. Reviewers should consider technical issues, accessibility needs, environmental context, candidate explanations, and organizational policy.

Identity continuity 94%

Browser-session continuity 89%

Illustrative review confidence 84%

Proctoring configurations

Match monitoring intensity with assessment purpose and risk

Configure a proportionate proctoring experience for recruitment screening, certification, academic examinations, internal assessments, high-stakes testing, and large-volume remote evaluation.

AUTO Scalable

Automated AI-assisted proctoring

Capture configured identity, webcam, face-presence, browser, fullscreen, clipboard, and session signals, then organize selected events for later review.

Identity checks Session flags Timeline report

LIVE Supervised

Live proctor-supported assessment

Combine configured monitoring signals with an authorized human proctor workflow for candidate communication, session support, escalation, incident notes, and review.

Proctor oversight Session support Escalation notes

REC Reviewable

Recorded session review

Preserve configured session evidence and event timestamps so reviewers can examine selected moments, repeated patterns, technical issues, and candidate explanations after submission.

Evidence timeline Reviewer notes Decision history

FLEX Configurable

Flexible assessment controls

Use only the monitoring and browser controls appropriate for the assessment, candidate population, accessibility policy, legal requirements, and organizational risk.

Custom rules Accommodation support Risk-based setup

Proctoring session report

Illustrative assessment integrity summary

92 integrity index

Session completed with limited review events

Candidate identity remained consistent, the assessment was completed successfully, and selected browser, face-presence, and camera events were organized for contextual human review.

Identity and candidate continuity 96

Webcam and face-presence continuity 93

Browser and fullscreen continuity 90

Session completion and evidence quality 87

Reviewer summary

Illustrative session recommendation

REV

Remote assessment session AI-assisted evidence review

Review complete

Identity status Candidate access and configured identity checks were completed successfully.

Verified

EVT

Review events Two browser-focus changes, one brief absence, and one camera interruption were recorded.

CTX

Event context Signals were brief, limited, time-linked, and reviewed with technical context.

Limited

Recommended action Retain the assessment result with the completed review record and organizational decision notes.

Proceed

AI flags should support review, not replace responsible judgement

Final decisions should consider the complete evidence record, candidate explanation, technical conditions, approved accommodations, applicable policy, privacy obligations, and authorized human review.

AI proctoring use cases

Support secure remote assessments across hiring, education, and certification

Use CloudTest AI Proctoring for recruitment assessments, campus hiring, academic examinations, certification tests, employee evaluations, internal mobility, scholarship tests, entrance assessments, and distributed candidate screening.

HIRE

Recruitment assessments

Protect technical, aptitude, coding, role-based, behavioural, and job-readiness assessments used for remote candidate screening.

CAMP

Campus and graduate hiring

Coordinate high-volume remote tests with consistent candidate verification, monitoring rules, event reports, and reviewer workflows.

EDU

Academic online examinations

Support remote quizzes, term assessments, entrance tests, scholarship examinations, programme evaluations, and supervised academic testing.

CERT

Certification programmes

Protect professional certification, compliance, partner, technical, product, and skill-validation assessments conducted remotely.

INT

Employee and internal mobility tests

Evaluate employees for promotion, cross-functional movement, technical progression, training completion, and internal certification.

SCALE

Distributed and high-volume assessments

Apply consistent exam rules, candidate instructions, monitoring settings, evidence collection, and review workflows across large remote test populations.

AI proctoring benefits

Improve assessment confidence while keeping review transparent

Build a consistent remote assessment process with candidate instructions, configurable monitoring, chronological evidence, reviewer notes, decision history, privacy controls, and human oversight.

Standardize remote exam monitoring

Apply consistent candidate verification, browser controls, webcam checks, session rules, event capture, escalation, and review criteria.

Consistent integrity process

Create time-linked assessment evidence

Connect selected identity, browser, webcam, environment, and interruption signals with timestamps, durations, and reviewer notes.

Reviewable evidence

Reduce manual session monitoring effort

Use AI-assisted organization to surface configured events and help reviewers focus on selected moments instead of checking every session from start to finish.

Efficient review

Support responsible human decisions

Preserve evidence, candidate explanations, accommodation context, technical conditions, reviewer notes, policy references, and decision history.

Human oversight

Frequently asked questions

AI Proctoring FAQs

Learn how CloudTest supports candidate verification, webcam monitoring, browser-focus tracking, fullscreen controls, session flags, evidence reports, human review, privacy, and remote assessment integrity.

What is AI proctoring?

AI proctoring uses configured software signals to support remote assessment monitoring. These may include identity checks, webcam status, face presence, browser focus, fullscreen activity, clipboard events, session interruptions, timestamps, and evidence reports.

What activities can be monitored during an online assessment?

Depending on the selected configuration and technical environment, monitoring may include candidate identity, camera status, face presence, multiple-person signals, browser-focus changes, fullscreen exits, copy-paste attempts, visibility changes, and session interruptions.

Does every proctoring flag indicate cheating?

No. A flag is a signal for review and may result from a technical issue, accessibility need, environmental interruption, network problem, permitted behaviour, or another valid explanation. Final decisions should consider the full context.

Can different assessments use different proctoring rules?

Recruitment tests, academic examinations, certification programmes, scholarship tests, internal evaluations, and high-stakes assessments can use different identity checks, monitoring signals, browser controls, review thresholds, and escalation processes.

What information can be included in a proctoring report?

Reports can include candidate verification status, assessment duration, webcam continuity, face-presence events, browser-focus changes, fullscreen exits, clipboard events, timestamps, durations, reviewer notes, candidate explanations, and final review status.

How should privacy and candidate consent be handled?

Candidates should receive clear information about monitoring, collected signals, permitted behaviour, data use, retention, support, review procedures, and available accommodations. Organizations should configure the process according to applicable privacy and legal requirements.

Should AI make the final assessment-integrity decision?

AI-assisted signals should support an authorized review process. Final decisions should include appropriate human judgement, complete evidence, candidate context, technical conditions, accommodations, organizational policy, and applicable legal requirements.

Ready to protect online assessments?

Build secure, reviewable, and candidate-aware remote assessment workflows with CloudTest AI Proctoring.

Configure identity verification, webcam checks, face-presence signals, browser controls, fullscreen monitoring, clipboard rules, event evidence, reviewer workflows, privacy notices, and detailed proctoring reports for your online assessments.

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