Aiselon enforces exam integrity where invisible cheating actually happens — at the device and network layer. It runs without kernel drivers, leaves nothing behind, and works on the unmanaged devices candidates already own.
Detects and neutralises transparent AI assistant overlays that sit invisibly on top of an exam window, feeding answers the proctor's camera can never capture.
Identifies and severs remote-access (RAT) sessions and screen-sharing channels used to pipe an exam to an outside helper in real time.
Blocks locally-running large language models — the offline tools that defeat any network-traffic-only detection approach.
Flags the network and timing signatures of a candidate pivoting to a phone or second machine mid-assessment.
The enclave spins up in half a minute and tears itself down the moment the session ends. No persistent install, no lingering agent.
No webcams, keystroke logging or screen recording required. Default candidate-data retention is 24 hours.