College testing centers are dealing with a different kind of problem than they were three years ago. The questions used to be about scheduling, seat counts and vendor outages. Today the hardest questions are about integrity: students who score perfectly on a recorded exam with nothing suspicious on the video, lockdown browsers that can be bypassed with a tutorial, and smart glasses that look like ordinary eyewear.
The common thread is that cheating has moved from things a proctor can see to things a proctor cannot. Below are the five concerns we hear most often from testing center leaders, and how an AI-assisted approach to proctoring addresses each one.
Placement and remote exams are seeing score jumps that are hard to explain. A student who could not break a middle score one week posts a near perfect result a few days later. The recording shows a student sitting quietly at a desk. Nobody is talking to them, nothing is visible on screen, and the answers come without any visible work.
What is happening is simple. The help is coming from a second device, an earpiece or an AI tool that never appears in the camera frame. A human reviewer watching a video has very little to go on, so many institutions respond by pulling remote options altogether. That protects the score, but it costs access for students who cannot easily come to campus.
How it gets solved: Detection has to look at behavior and results together, not just the video.
The goal is to keep remote testing available, with evidence strong enough that faculty and administrators trust the result.
Lockdown browsers were built for a world where the threat was a second browser tab. That world is gone. Short videos showing students how to break out of a lockdown browser are easy to find, and AI overlay tools now sit on top of the screen in ways a blocklist was never designed to catch.
The risk is highest where students test on their own laptops, which is common for accommodated exams. Saved logins, background apps and hotkeys all travel with the device. When one case comes to light, the usual reaction is that an instructor moves the whole course back to paper.
How it gets solved: A secure browser has to watch what the device is doing, not just what it is told to block.
This is the difference between a fence and a guard. A fence stops what you planned for. A guard notices what you did not.
Smart glasses have gone from rare to routine at the check-in desk. They carry cameras, microphones and wireless links, and many come with prescription lenses, which makes a simple ban awkward. Centers are rewriting prohibited item policies, asking students to bring a second pair of glasses, and trying phone apps that scan for nearby devices.
Policy helps, but it depends on a staff member spotting the device at the door. Smart glasses are designed to look like regular frames. Smart watches, rings and earbuds are even smaller.
How it gets solved: The testing room itself needs the same AI support that remote sessions already have.
Staff stay in charge. The AI simply makes sure they are looking at the right station at the right time.
Many colleges now run live remote proctoring with their own staff rather than sending every exam to an outside provider. It keeps costs down and keeps the student experience in house. It also stretches teams that were sized for in-person testing only.
The questions directors are working through are practical. How many proctors per session? Do the same people cover the room and the remote queue? What happens at 9 pm during finals week? In most cases, remote testing was added without new headcount, so it comes out of existing capacity.
How it gets solved: Let AI carry the watching, and let people carry the judgment.
The result is more remote capacity from the same team, with superior real time support for students when something goes wrong.
Check-in is where a busy center loses the most time. Staff compare a face to a card, match a name to a booking and log the visit, often with a line out the door. Remote sessions add a harder version of the same problem: confirming the person on camera is the student who registered.
Identity fraud is also changing. Edited IDs and deepfake video are now cheap to make, and a quick visual check by a busy staff member is not built to catch them.
How it gets solved: Make identity a step the system does, with a person ready to step in.
None of these concerns is solved by technology alone. Each one needs three things working together.
Testing centers protect the value of every credential their institution awards. The threats will keep changing. With the right platform, people and processes, centers can keep remote and accommodated testing open to students and still stand behind every score.
Want to see how Talview supports testing centers? Talk to our team.