PRUUVA VS. HONORLOCK
Honorlock is an AI-powered remote proctoring platform used by hundreds of institutions. It monitors students through their webcam, records their screen and browser activity, and uses artificial intelligence to flag behavior it deems suspicious for instructor review. It also detects secondary devices and searches for exam content on the web. Pruuva pursues a different goal: making understanding visible after submission through artifact-specific follow-up and evidence reports.
HONORLOCK'S APPROACH
PRUUVA'S APPROACH
WHEN TO CHOOSE EACH APPROACH
Honorlock's secondary device detection and real-time web search monitoring address specific cheating vectors in high-stakes timed exams. If those threats are your primary concern and your institution has addressed the privacy and accessibility implications, Honorlock serves that use case.
When the goal is evidence that students understand the material — not behavioral flags from an AI watching them through a webcam — Pruuva provides a structured follow-up that produces a comprehension report instructors can act on without reviewing surveillance footage.
PRUUVA WORKS WELL WHEN
CONSIDER OTHER OPTIONS WHEN
PRIVACY, ANXIETY, AND FALSE FLAGS
Honorlock's AI behavioral analysis watches students through their webcam throughout the exam, flagging moments it considers suspicious. But the algorithm's definition of 'suspicious' often captures normal behavior, and the experience of being constantly monitored in one's own home takes a toll on student wellbeing and trust.
Before each exam, students must turn their camera to show their room and workspace. This records their living environment — a significant privacy intrusion, especially for students in shared or personal spaces they would not normally expose.
Students report being flagged for looking at their keyboard while typing, reading questions aloud to themselves, glancing away to think, or having a family member briefly enter the room. Instructors must then manually review these flagged moments.
Research consistently shows that being monitored increases test anxiety. For students already prone to anxiety, the addition of AI behavioral analysis, webcam recording, and room scans can measurably affect performance — meaning the proctoring itself can lower scores.
HONORLOCK ALTERNATIVE CRITERIA
Ask whether integrity evidence can be collected without room scans, constant webcam monitoring, or AI behavioral surveillance.
Compare behavioral flags with evidence of whether students can explain, apply, and defend the ideas in their own work.
Evaluate how the workflow supports accessibility, institutional review, academic integrity policy, and department-level rollout.
NEXT STEPS AFTER HONORLOCK
Honorlock-alternative research often starts with privacy concerns, but the strongest replacement path also improves the evidence instructors use for academic decisions.
See how Pruuva supports compliance, policy alignment, LMS planning, and academic integrity workflows for schools and departments.
View institution path →Test one assignment or course where students demonstrate understanding through a focused follow-up instead of continuous monitoring.
Plan a pilot →Understand how artifact, response evidence, session context, and instructor judgment create a reviewable record.
See evidence layer →THE BOTTOM LINE
Honorlock provides AI-powered exam surveillance with secondary device detection, but it monitors behavior rather than measuring comprehension. Pruuva offers evidence of demonstrated understanding without room scans, webcam recording, or behavioral AI — a less invasive path to academic integrity.
Move beyond detector scores. Review evidence of what students can explain.
Get early accessRELATED PRUUVA RESOURCES
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Last reviewed: June 3, 2026
