Aiselon is an exam integrity platform that operates at the device and network security layer. An ephemeral security enclave deploys in 30 seconds, blocking invisible AI overlays, remote-access tools, and on-device large language models — on any device, with no kernel drivers and no persistent install.
Every exam runs inside a sealed enclave that proves no AI overlay, remote helper or local model was active — turning "we hope it was fair" into "we can show it was."
Protection lives at the operating-system and network layer — neutralising invisible overlays, RAT channels and second-device pivots that browser lockdowns never see.
No webcam, keystroke logging or screen recording required. We secure the environment, not the person — with candidate data deleted automatically after 24 hours.
For two decades, the assumption behind online assessment was simple: most candidates are honest, and the dishonest few can be caught after the fact. That assumption is breaking down. Industry observers broadly agree that AI-assisted cheating is rising sharply, and the tools enabling it increasingly operate below the detection threshold of existing systems. The question facing every platform, employer and certifying body is shifting — from whether candidates will reach for AI, to whether anyone will ever know they did. The figures below are illustrative estimates we use to frame the problem, not a formal study.
Estimated year-over-year rise in AI-assisted cheating across online assessments
Illustrative industry estimateOnline exams and assessments now face some level of AI cheating risk
Illustrative industry estimateShare of technical-role candidates suspected of undisclosed AI assistance in live interviews
Illustrative industry estimateCandidates attempting some form of fraud on proctored assessments than a year earlier
Illustrative industry estimateThe cheating that matters in 2026 no longer happens in the browser, so the browser can no longer stop it. Below is the attacker's toolkit on the left, and the layer at which each tool actually operates on the right. Notice the pattern: every modern technique lives at the operating-system or network layer — exactly where application-layer proctoring is blind.
The assessment security stack has three layers. Aiselon owns the middle one — device and network — where invisible cheating actually happens. We complement what works above us and replace what's failing below us.
Webcams, gaze tracking and human proctors. The best of these tools work well at what they do. Aiselon plugs in beneath them, covering the threats a camera can never see.
Invisible AI overlays, remote-access tools, on-device LLMs and second-device pivots. Network-layer enforcement on unmanaged devices — no kernel drivers, no persistent install.
★ Aiselon owns this layerLockdown and safe-exam browsers operate at the application layer only — blind to the operating system beneath them. Aiselon makes that layer obsolete.
No installer to chase, no kernel driver to approve, no IT ticket. The candidate clicks a link and the enclave does the rest — sealing the device, enforcing integrity, and signalling a verified result back to your platform.
One click from your assessment flow. No download, no admin rights, nothing to install on the device they already own.
In ~30 seconds Aiselon scans and locks the OS and network layer — blocking overlays, on-device LLMs and remote-access tools before the exam begins.
Aiselon signals a clean, enforced session back to your platform in real time — then erases itself the moment the exam ends.
The three steps above are what a candidate experiences. Under the hood, every session moves through four phases. Aiselon is built around a single principle: detection has lost, so prevention is the only defense. Rather than recording candidates and reviewing footage afterwards, the enclave removes the conditions that make cheating possible — then erases itself when the exam ends.
The candidate opens a session link. The enclave provisions in about 30 seconds on the device they already have — no admin rights, no kernel driver, no app-store download.
A hardened boundary is established at the network and OS layer, isolating the assessment from overlays, remote sessions and local model processes.
Throughout the exam, Aiselon continuously blocks every covered attack vector and signals a verified state to the host platform.
When the session ends the enclave tears itself down within seconds. Nothing persists. Default candidate-data retention is just 24 hours.
Every detection-based approach shares the same fatal flaw: it assumes the cheating leaves a trace it can find. The 2026 toolkit was engineered specifically to leave no trace — no visible window, no network traffic, no telltale artefact. Prevention sidesteps the entire race by making the unsafe state impossible in the first place.
Embed Aiselon as the security layer beneath your platform. One REST API, zero candidate friction. Restore the score trust your enterprise buyers are asking for by name.
See the integration → FastestRun your next technical interview with every invisible overlay, every RAT and every on-device LLM blocked. 30-second deploy, 10-second destruct.
Get 5 free sessions → Highest stakesProxy rings promise pass guarantees on at-home exams at scale. Aiselon blocks them without a physical test center — protecting your credential's value.
Request a Red Team audit →Security and privacy are usually sold as a trade-off. Aiselon was designed to refuse that trade. We secure the assessment by controlling the device environment — not by watching the human being.
We don't require camera feeds, gaze tracking or biometric capture to do our job. Integrity comes from the environment, not the lens.
Session integrity data is automatically deleted after 24 hours unless a specific contractual reason requires otherwise. Minimise data, minimise risk.
The enclave is ephemeral. No kernel driver, no background agent left running on the candidate's machine after the exam.
No corporate MDM, no locked-down lab. Aiselon secures the device the candidate already owns, wherever they are.
"The moment a model can run entirely on the candidate's own device, every detection strategy built on watching network traffic becomes theatre. The only honest answer left is to secure the environment itself."— Marcus Reed, Head of Security Research, Aiselon
Most cheating still happened in the browser — a second tab, a copy-paste. Application-layer lockdown tools covered the majority of cases.
General-purpose AI moved into everyday workflows. Candidates began using it casually, and detection-based tools struggled to keep pace.
Transparent overlays and remote-access proxy services emerged, designed specifically to evade screen capture and human proctors. Aiselon was founded to answer them.
Local LLMs running offline produce no network signal at all. AI-assisted cheating doubles year over year. Prevention at the device layer becomes the only viable defense.
$2 covers up to 5 candidates in a single session, scaling in $1 steps per 5 more. Every defense layer is included on every plan — there is no premium tier that unlocks "real" security. Start with 5 free sessions and pay only for what you use.
Not necessarily. Aiselon complements physical and behavioural proctoring (webcams, human proctors) and replaces application-layer lockdown browsers. It secures the device and network layer those tools can't reach, so many customers run Aiselon alongside their existing camera-based proctoring.
No. The enclave is ephemeral — it provisions in around 30 seconds, runs without kernel drivers, and tears itself down within seconds of the session ending. Nothing persists on the candidate's machine.
That's exactly why network-traffic monitoring fails and Aiselon doesn't rely on it. We contain locally-running model processes at the operating-system layer, so an offline model never gets the chance to assist during a sealed session.
We collect the minimum technical signals needed to enforce integrity — no webcams, keystroke logging or screen recording are required. Default candidate-data retention is 24 hours, after which session data is automatically deleted.
Through a single REST API call beneath your existing assessment flow, with zero added candidate friction. Most teams are running their first secured sessions the same day.
Send us a link to your current assessment flow. Our security team will attempt to bypass it live on a 30-minute call, then show you exactly what Aiselon stops — and what your current setup is missing.