Guide

Remote proctoring best practices for the generative-AI era

Classic remote proctoring watched faces and rooms. Generative AI cheating often looks like a normal candidate with a hidden assistant. Best practice now means integrity signals, reviewable evidence, clear policy, and humans in control-not more invasive theater.

Back home

01

Define the threat model

Visible second persons, notes, and phone glances still matter. Stealth overlays and copilots matter more for many remote interviews. Design controls for both.

02

Prefer evidence over accusation

Operators and reviewers need timelines and structured observations. Vague risk scores create disputes and weak enforcement. Separate possible assistance from proven misconduct.

03

Match assurance to stakes

Not every session needs live monitoring. Volume screens can use async review; finals and credentialing may need live visibility. Over-proctoring increases drop-off without always increasing signal.

Integrity gate

Threats get intercepted. Genuine candidates pass through.

A four-scene integrity loop: live session, anomaly detection, layered interception, and verified pass—built for AI-era cheating.

  • Device & session
  • Behavior & language
  • AI assistance
Honrly integrity
Session live
Candidate sessionLive

“When a renewal was at risk, I called the customer the same day and owned the save through Q3…”

Response · 00:14:22
Integrity watch
  • Identity checkok
  • Device postureok
  • Response cadenceok

Hiring pipeline

Without a gate, risk flows into every hire. With Honrly, it doesn't.

Watch one hiring wave: intake, unchecked advance, gated interception, then a shortlist built only from verified sessions.

Candidate stream
Intake
Hiring wave · CSM6 sessions
A. Chen
Ownership 5
In queue
R. Okonkwo
AI assistance
In queue
M. Patel
Judgment 4
In queue
J. Rivera
Hidden overlay
In queue
S. Kim
Evidence 5
In queue
T. Brooks
Paste burst
In queue

Integrity layer

Signals you can review—not a vague risk score

From live feed to flagged event to human resolution—every integrity decision leaves an audit trail.

Integrity timeline
Live feed
Monitoring
  • Identity check
    00:01:02
    clear
  • Hidden overlay
    00:12:04
    flagged
  • Assistance pattern
    00:18:41
    review

Workflow

Integrity in the assessment loop

Detection and evidence review sit alongside scoring—not as a bolted-on afterthought.

Assessment loop
Select
Role · Customer Success Manager
Customer empathy
30%
Ownership
25%
Communication
20%
Adaptability
15%
Conflict resolution
10%

04

Candidate experience is a security control

Clear rules, predictable setup, and fair retest paths reduce panic and shadow workarounds. Surprise surveillance destroys trust and increases legal risk.

05

Keep humans accountable

Automated flags should inform policy. Employment and credentialing decisions should stay with humans who can inspect evidence.

FAQ

Frequently asked questions

Honrly is built for AI-era integrity and verified behavioral assessments-not classic room-surveillance proctoring alone. See our Proctorio comparison.

Next step

Ready to run verified assessments with integrity?