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 AI cheating at the device and network layer, not the browser. It deploys as an ephemeral security enclave that blocks invisible overlays, remote-access tools, and on-device LLMs, on any device, in 30 seconds. Used by assessment platforms, enterprise hiring teams, and certification bodies.
The console, not a diagram
Watch the posture flip the moment a tool launches.
AI-assisted cheating in a single year, across every independent 2026 dataset.
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.
We complement what works above us, and replace what's failing below us. The middle layer, device and network, is where invisible cheating actually happens.
- ComplementAbove us
Physical / behavioural
Webcam, gaze tracking, human proctors. Proctorio, ProctorU, Honorlock, Talview do this well; Aiseptor plugs in beneath them.
- OwnOur 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.
- ReplaceBelow us
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.
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+
Candidates 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.