Comparisons
Exam Proctoring Software Alternatives
Lockdown browsers and proctoring services enforce at the application or camera layer. The AI-cheating tools that matter in 2026 operate beneath that layer. Here is how each tool compares against network-layer enforcement — and why how you detect matters more than which tools you name.
The detection that's losing: name lists
Some tools have started catching Cluely by matching its process name. That closes one named binary and goes blind the moment the name changes — a renamed build, an open-source fork, or the next invisible overlay walks straight through. It's a permanent arms race the defender is always losing by one release.
The detection that holds: the technique
Aiseptor doesn't chase names. Every overlay that hides from screen-share must set the same OS screen-capture-exclusion flag; every on-device LLM leaves process, model-file, and GPU-memory signatures; every AI API call resolves a domain Aiseptor can block. Aiseptor detects the invariant — so renamed and never-before-seen tools are caught the same way the known ones are.
Lockdown browsers
Respondus LockDown Browser
Respondus locks the browser window. It cannot see invisible AI overlays, on-device LLMs, or any process running outside the browser.
Browser layer only — blind to the OS layer beneath it.
Safe Exam Browser (SEB)
SEB is a free, open-source kiosk lockdown. It controls the exam window well but has no visibility into other OS processes, overlays, or the network stack.
Kiosk window control — no device or network enforcement.
ExamSoft / Examplify
ExamSoft secures a high-stakes exam application, including offline. But a sandboxed exam app cannot enforce OS-wide network policy or detect a second-process overlay running beside it.
Application sandbox — blind to overlays and on-device LLMs.
Lockdown browsers (category)
Every lockdown browser enforces rules inside one exam window. The 2026 AI-cheating threats run below that window. Here's the category-level gap and the network-layer fix.
One window on a multi-process machine.
Proctoring services
Honorlock
Honorlock adds webcam proctoring on top of browser lockdown and now name-matches Cluely. It still misses renamed and unknown overlays, and silent on-device LLMs.
Camera + browser + a name list — not the technique.
Proctorio
Proctorio uses behavioral AI and screen analysis and has begun name-matching Cluely. It has a documented privacy record and cannot catch overlays it hasn't named.
Behavioral flags + a name list — no OS/network enforcement.
ProctorU
ProctorU pairs live human proctors with AI monitoring and webcams. Strong on physical-room cheating; blind to invisible overlays and local LLMs by design.
Watches the candidate — not the device beneath the camera.
The gap they all share
Browser lockdown, webcam proctoring, and behavioral AI all observe one layer: the exam window or the candidate in front of the camera. Invisible AI overlays, on-device LLMs, and remote-access tools operate at the OS and network layer — beneath what any of them can see, and behind names they may not know yet. Aiseptor enforces at the network and device layer, blocking AI endpoints and flagging the cheating technique before the exam starts, regardless of which process initiates it or what it is called.
Aiseptor is built to sit beneath any of these tools, not replace them — keep your lockdown browser or proctoring service and add the device-and-network layer they cannot reach. And to be clear about scope: Aiseptor does not cover physical or environment security. It does not verify identity, watch the room, or catch a phone, a paper note, or an in-person accomplice off-camera — pair it with a live proctor or identity check for that.