The security layer for high-stakes assessments
The Exam Integrity Platform That Stops What Browser Proctoring Misses
Aiseptor is a network-layer security platform that blocks invisible AI overlays, remote-access tools, and on-device LLMs on any candidate device, in 30 seconds, below where a lockdown browser can see.
The console, not a diagram
Watch the posture flip the moment a tool launches.
Assessment fraud in a single year: 16% of candidates on proctored assessments attempted it in 2024, 35% in 2025.
Source: CodeSignal, 2026
Assessment fraud is no longer an edge case. It is the default.
The tools enabling it now operate below the visibility threshold of every existing detection system.
The assessment stack has three layers. Aiseptor owns the one nobody else secures.
Proctoring watches the person. A lockdown browser controls one window. Beneath both, on the device and its network path, is where invisible cheating actually happens, and where Aiseptor enforces.
- ComplementTop: the person
Physical / behavioural
Webcam, gaze tracking, human proctors. Proctorio, ProctorU, Honorlock, Talview do this well; Aiseptor plugs in beneath them.
- ReplaceMiddle: the window
Application / browser
Respondus LockDown Browser, Safe Exam Browser: application-layer only, blind to the OS beneath. Aiseptor Secure Browser (beta) now covers this layer too.
- OwnBottom: our layer
Device + networkAiseptor owns this
Invisible AI overlays, RATs, on-device LLMs, second-device pivots. Network-layer enforcement on unmanaged devices: no kernel drivers, no persistent install.
Who embeds Aiseptor
One platform. Three ways to deploy.
Zero bypasses.
Zero false positives.
Detection tools guess from behaviour and are wrong in both directions: they miss the competent cheat and flag the honest candidate. Aiseptor closes the path instead of scoring the person, so a session is either enforced or it is not. That is why the false-positive number is zero rather than low.
Enforcement and judgement are deliberately separate. Aiseptor enforces; the Aegis report tells you which signals fired and which did not. What a signal means for a candidate is your platform's decision, not ours. In one design partner's own adversarial test, Aiseptor covered 100% of their threat model.
0%
Bypass rate across 25+ attack vectors attempted in live pilot runs
0
False positives in enforcement. It closes the path rather than scoring the person
3
Signed pilots with assessment platforms. Integration scope locked, active deployment
100+
Students in each of two live runs at Cornell University
- 2026 Cornell Tech Startup Award winner
- NVIDIA Inception member
- Patent pending
- GDPR and CCPA compliant by design
- SOC 2 Type II in progress
- Public bug bounty
- Advised by the Chair of the e-Assessment Association
Detection lost. Prevention is the only defense.
Primary-source data on AI-assisted cheating, assessment fraud, and the tool ecosystems that have made detection architecturally impossible.
See Aiseptor block a bypass, live, in your own stack.
Send us a link to your current assessment flow. Our advisory board, including one of India's most widely recognized ethical hackers, will bypass it live on a 30-minute call, then show you exactly what Aiseptor stops.