Alternatives & comparisons
AutoProctor Alternative for the AI Cheating Era (2026)
AutoProctor adds webcam, microphone, and tab-switch monitoring to quizzes like Google Forms — all inside a normal browser. It does visible behavior well. But Cluely never crosses the tab boundary. It's an OS-layer overlay that excludes itself from screen-capture APIs and fires no tab-switch event. Here is what sits below the observation layer.
What AutoProctor Does
AutoProctor is an automated proctoring tool that layers webcam and microphone monitoring, tab-switch tracking, and full-screen enforcement on top of existing quizzes — most notably Google Forms, plus Microsoft Forms and custom sites. Candidates install nothing; the test loads in a regular browser and they grant camera, mic, and screen permissions. It summarizes violations into a Trust Score with stored photo and audio evidence. It's popular with educators and smaller institutions for lower-stakes online tests, and it works well for the things its layer can see: a second face on camera, leaving full-screen, switching to a ChatGPT or search tab, audio in the room.
What AutoProctor Cannot See
Tab-switch detection and full-screen enforcement operate at the browser and quiz level; webcam observation operates at the room level. The operating system — and any second device — sits outside both. An invisible AI overlay like Cluely marks itself invisible to the screen-capture APIs a proctor relies on, and it never opens a new tab — so it produces no tab-switch event for AutoProctor to flag. A candidate reading an AI answer off a transparent overlay looks, on camera and in the tab log, like a candidate reading the question.
The same limitation applies to on-device LLMs. A model running in local memory produces no screen artifact, no webcam-visible behavior, no tab switch, and no network traffic to intercept. Aiseptor detects the technique instead of the appearance: a screen-capture-exclusion flag, GPU VRAM deltas, and DNS/SNI to AI endpoints — at the network and OS layer, regardless of process name.
The Observation Trade-off
AutoProctor's model is observation: webcam snapshots, microphone audio, and screen-activity events, stored as evidence for review. AutoProctor itself notes the Trust Score is a guide that can produce false positives. Recording a candidate's camera and mic in their own home is a live concern for institutions subject to FERPA, GDPR, or internal privacy commitments — and an invisible overlay or a local model can still slip past all of it, because the technique never appears in the recording.
Aiseptor collects no webcam data, no microphone audio, no screen content, and no keystrokes. Only session-level network and device signals, retained by default for 24 hours. For the full data model, see the trust page.
Comparison: AutoProctor vs. Network-Layer Enforcement
| Capability | AutoProctor | Aiseptor (Network Layer) |
|---|---|---|
| Webcam / mic / tab-switch monitoring | Yes | No |
| Invisible AI overlays (Cluely, Pluely, unknown forks) | No | Yes |
| On-device LLMs (Ollama, LM Studio) | No | Yes |
| OS-wide network / DNS enforcement | No | Yes |
| Data collected | Webcam, mic, screen events | Network access signals only |
| Data retention | Stored evidence per violation | 24 hours (default) |
Complementary Architecture
AutoProctor = identity, environment, and quiz-behavior layer. Aiseptor = network and device layer. Aiseptor sits beneath AutoProctor, not in place of it. AutoProctor's webcam and tab-switch monitoring catch physical and environmental cheating Aiseptor does not address — a second person on camera, switching to a search tab, audio in the room. Aiseptor catches the device and network AI surface a webcam cannot see — the overlay opened before the exam started, the local model running in memory. Physical, identity, and environment proctoring is explicitly out of Aiseptor's scope; we don't claim to replace it.
See also: Respondus alternatives · Proctorio alternatives
Frequently Asked Questions
Does AutoProctor detect Cluely?
AutoProctor watches the candidate through a webcam and the quiz through tab-switch and full-screen monitoring inside a normal browser. Cluely is an OS-layer overlay that excludes itself from the same screen-capture APIs and produces no tab-switch event — it opens outside the browser, not inside it. The two surfaces don't intersect architecturally: the overlay is invisible to webcam observation and never crosses the tab boundary AutoProctor measures.
Does AutoProctor detect AI cheating?
AutoProctor can flag the AI-assisted behaviors that are visible to its layer: switching to a ChatGPT tab, leaving full-screen, a second face on camera, or audio cues. It cannot see an OS-layer overlay that hides from screen capture, or an on-device language model running in local memory with no network traffic and no tab switch. Those techniques live outside the browser and quiz sandbox AutoProctor observes.
What does AutoProctor collect from candidates?
AutoProctor's model is observation: webcam snapshots, microphone audio, and screen-activity events, summarized into a Trust Score with stored photo and audio evidence per violation. AutoProctor itself notes the Trust Score is a guide that can produce false positives. The architectural question is not whether the score is accurate, but whether the cheating technique is visible to observation at all.
Is there an AutoProctor alternative without webcam?
Yes. Aiseptor enforces exam integrity at the network and device layer: no webcam, no microphone, no screen recording, no keystrokes. The audit record is metadata about what was and wasn't reachable during the session, not a recording of the candidate. Retention defaults to 24 hours.
Where Aiseptor Fits: Beneath, Not Instead Of
Aiseptor is a layer, not a rip-and-replace. It sits beneath AutoProctor — and beneath any lockdown browser or proctoring service — owning the device and network layer those tools architecturally cannot reach. Keep what you have for browser control or webcam proctoring; add Aiseptor for the OS- and network-level AI threats it was built to stop. The exam page can open in a normal browser while Aiseptor enforces the machine boundary.
What Aiseptor does not do: physical and environment security is out of scope. Aiseptor does not verify identity, watch the room, or catch a phone, a paper note, or an in-person accomplice off-camera. For those, pair Aiseptor with a live proctor or an identity-verification step. Aiseptor secures the device and the network path — not the physical room around it.
No webcam. No tab-switch guessing. Just network enforcement.
The audit record is metadata about what was and wasn't reachable during the session, not a recording of your candidates. It detects the technique — the overlay, the local model, the AI endpoint — regardless of process name.