How Do AI Proctoring and Identity Verification Keep Online Exams Secure?
Why a webcam and a timer aren’t enough, and what a defensible remote exam actually looks like.
Online exams opened doors. A student in a small town can sit a university entrance test without a two-day trip, and a recruiter can assess 500 applicants in a week.
But once the exam leaves the hall, two questions get harder: who is actually taking it, and are they getting help?
Generative AI has made both questions tougher. So how do institutions answer them? Mostly with two things working together: AI proctoring and identity verification.
(Originally published at TatvaOne.AI.)
What is AI proctoring?
AI proctoring is software that monitors an online exam and flags behaviour or technical activity that might break the rules. Those flags go to a trained proctor or exam team, who decide whether anything actually went wrong.
Old-style remote invigilation meant one person watching one webcam feed. That works for a handful of candidates and collapses at a few thousand. AI can track many signals across every session at once, and pull in a human only when something looks off.
Depending on setup, it can:
- Check a candidate’s ID and match it to their face
- Confirm the candidate stays present throughout
- Spot unusual browser or device activity
- Pick up signs of outside help
- Save snapshots and short clips as evidence
- Produce an integrity report for each candidate
One honest caveat: no proctoring tool stops every form of cheating. What it does is make cheating harder, surface the cases worth a closer look, and give you evidence to base decisions on.
Why does online exam security matter?
Knowing who is taking the exam. Without identity checks, you can’t rule out proxy test-taking, where someone else sits the exam for the registered candidate. One impersonation case can undermine trust in a whole cohort’s results.
AI-assisted cheating. A few years ago the worry was a textbook under the desk. Now it’s a chatbot in another tab, an extension that reads questions aloud, or a phone propped just out of view.
Scale. Entrance exams and certification rounds often involve thousands of candidates in a tight window. Manual ID checks and live watching create bottlenecks.
Fairness. Every candidate should sit under the same rules and be judged by the same standard.
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Audits and appeals. When a result is disputed, someone has to explain what happened. An evidence-based record beats memory or a vague note.
How do the two work together?
Monitoring alone isn’t enough. A secure exam runs through stages, and each does a different job. Proctorly organises them into five steps:
- Assess: The candidate takes the exam in a controlled browser session, with randomised questions if configured.
- Verify: Before the exam starts, the platform checks the ID and runs a live face match. Presence checks during the session can catch a change of person midway.
- Evaluate: AI monitoring flags possible rule breaks such as unauthorised apps, virtual machines, extensions, a second device or remote access software. What’s detected depends on device, OS, browser permissions and configuration.
- Decide: A trained proctor reviews each flag and its evidence. The final academic or hiring decision stays with the institution.
- Transition: Scores and integrity reports feed into admissions shortlists, results, certifications or hiring decisions.
What threats should you plan for?
- AI agents and cheatbots: some are built specifically to stay hidden during tests.
- Unauthorised browser extensions: these can pull in outside information or automate parts of a test.
- Virtual machines: the exam runs in one environment while other tools sit untouched in another.
- Overlay applications: content placed on top of the exam window, readable without switching tabs.
- Second devices: a phone, tablet or extra laptop remains one of the easiest ways to get help.
- Screen sharing and remote access: someone else can see the exam or even answer for the candidate.
- Identity fraud: the wrong person sits the exam. ID verification and in-session presence checks are the main defence.
The goal isn’t to flag as much as possible. A system that flags everything buries reviewers in noise. The goal is to catch what matters, review it in context, and apply the same rules to everyone.
Why does human review matter?
An automated flag is a prompt to look closer, not proof of misconduct.
People look away from screens. Wi-Fi drops. A younger sibling wanders into the room. Technical glitches can create signals that look suspicious and aren’t. If every flag were treated as guilt, honest candidates would be penalised and appeals would pile up.
A good review process looks at the actual evidence, weighs it against the rules and the session context, separates real violations from reasonable explanations, and records the decision and the reasoning.
Proctorly pairs AI monitoring with trained human reviewers who check flagged incidents 24/7, so decisions rest on evidence and judgement, not an algorithm alone.
What should you look for in a platform?
Before signing with a vendor, ask about:
- Identity verification: reliable ID checks, face matching and presence confirmation
- Monitoring limits: which threats it can detect, and where it can’t, on different devices and operating systems. Ask for this in writing.
- Human review: who reviews flags, how decisions are recorded, and how false positives are handled
- Evidence-based reports: timestamps, snapshots or clips, incident details and reviewer decisions
- Scalability: peak volumes, concurrent sessions and support load in exam week
- Integration: fit with your LMS, exam platform and identity systems
- Privacy: what data is collected, how long it’s kept, who can access it, how consent works and whether it meets the privacy laws where you operate
- Accessibility and support: device compatibility, accessibility needs and live help when something breaks mid-exam
What is Proctorly?
Proctorly is an AI proctoring and identity verification platform from TatvaOne.AI, built for university admissions, online exams, certification and skills-based hiring. It covers verification, monitoring, incident review and integrity reporting in one workflow.
The platform reports 50,000+ exams proctored, 99.4% threat detection accuracy, 24/7 human review, and 120+ institutions and employers. These are Proctorly’s own stated metrics. With any vendor, ask how each figure is defined and tested, and whether it holds up in your exam setup.
The bottom line
A webcam and a countdown timer don’t make an exam secure. You need to know who’s taking it, watch the session, have a person review anything that looks wrong, and keep a record of every decision.
Get those pieces working together and remote exams become something you can defend to candidates, regulators and anyone who questions a result.
Want to see how it would work for your exams? Read the full guide and book a Proctorly demo here.
