For engineering & hiring teams
Run Technical Interviews Where Cluely, Overlays, and Local AI Can't Reach
Candidates are cheating with tools you cannot see from the other side of a video call: screen-hidden AI copilots, phone-based helpers, models running locally on their laptop. Aiseptor deploys on the candidate's machine in 30 seconds, blocks all of it at the network layer, and destructs itself when the interview ends.
No persistent install. No kernel drivers. Nothing left behind once the interview ends.
Evaluating for a team? Book a demo. Trying it on one interview? Request access.
Half your technical candidates are cheating with tools you cannot see.
You've felt this. A candidate who nailed the take-home can't explain their own solution on the follow-up. An online assessment that looked airtight collapsed in the onsite. A hire who crushed every interview loop is underwater in their first sprint.
The loop isn't broken. The machine underneath the candidate is. Invisible AI overlays paint answers on top of their screen, remote helpers drive from a second laptop, and models run locally with no internet trail. Lockdown browsers and webcam proctoring don't see any of it.
What a bad hire actually costs.
The price of a missed cheater isn't just the bad hire. It's every honest candidate you said no to because the fraudulent one looked better on paper.
| Impact | Cost |
|---|---|
| Engineering hours lost on fraudulent candidates who pass screens | 3–5 hours per candidate (prep, interview, debrief)Internal estimate |
| Severance + re-hire cost, junior engineer (US) | $42k – $125k |
| Severance + re-hire cost, senior engineer or VP | $200k – $750k+ |
| Team morale and trust once an ex-cheater is discovered | Hard to quantify. Impossible to undo.Internal estimate |
Source: SHRM 2025, US Department of Labor 2025 bad-hire cost surveys; internal hiring-manager interviews conducted Q1 2026.
What running an Aiseptor interview looks like.
No procurement, no IT ticket, no onboarding call. Your next interview loop (Tuesday, say) can be your first secured one.
Create an exam in the dashboard
30 seconds. Specify allowed domains in plain English: "docs.python.org, leetcode.com, and our engineering wiki." Our AI policy engine turns that into an exact allow-list you can review.
Share the 6-digit join code
Send the candidate a join code and a download link: single .exe for Windows, single .app for macOS. No admin rights required on their machine.
Candidate runs the agent, no install
The Aiseptor agent launches, joins the secured session, and the candidate proceeds to your interview as normal. The agent auto-destructs the moment the session ends.
Monitor live, or review the audit
Watch threat signals stream into the dashboard as the interview runs, or skip the live view entirely and read the full audit report afterwards. The integrity verdict is ready by the time you're in the debrief.
Every cheating tool your candidates actually use.
Named products, not categories. These are the tools on Reddit threads, in YouTube tutorials, and in the browser extensions your candidates installed yesterday.
Invisible AI overlays
Cluely, OpenCluely, Parakeet
A transparent window paints AI-generated answers on top of the candidate's screen, invisible to screen-share and to the interviewer.
How we stop it: Aiseptor blocks the network paths these tools call home to, so they never receive the answer in the first place.
Remote access tools
AnyDesk, TeamViewer, RustDesk
A friend or hired helper drives the candidate's machine from another location, solving the problem while the candidate pretends to type.
How we stop it: Aiseptor detects and severs remote-control sessions before the interview begins, and re-checks continuously during.
On-device LLMs
Ollama, LM Studio, llama.cpp
A capable model runs entirely on the candidate's laptop with no network traffic to block and no tab to see. They query it in a terminal while you watch their editor.
How we stop it: Aiseptor inspects running processes, open ports, GPU memory, and model files on disk; the local LLM is flagged before the first prompt.
Second-device AI
Phone under the desk, iPad behind the webcam
The candidate reads the question aloud, a second device (or a collaborator) pipes the answer back via a hidden earpiece.
How we stop it: Aiseptor looks for the device-to-device side channels these setups rely on: virtual audio cables, hidden Bluetooth peripherals, paired tethering.
Virtual machine stacking
Anti-detect VMs, nested hypervisors
The candidate runs the interview inside a VM and keeps a full desktop of cheating tools in the host, outside the sandbox you can see.
How we stop it: Aiseptor refuses to run inside virtualised environments and reports the attempt in the audit log.
Screen-share pivots
Discord observers, Zoom co-hosts
A helper watches the interview in real time via a secondary screen-share channel and feeds answers through chat.
How we stop it: Aiseptor blocks unauthorised screen-share and voice-call destinations during the session; only the interview video call is allowed through.
Your candidate experience stays clean.
The people taking your interview are your future employees. They should feel respected, not accused. Aiseptor was built to protect integrity without performing it.
No webcam. No microphone. No keystrokes.
Aiseptor is not surveillance. The agent does not access the camera, the microphone, the keyboard, or the contents of any file. It reads the network and the process list, nothing else.
30-second join. 10-second uninstall.
The candidate downloads a single binary, enters the 6-digit code, and is in. When the session ends, the agent removes itself completely; nothing persists on their machine.
Silent enforcement.
Blocked destinations return NXDOMAIN quietly. No scary red banners, no "violation detected" pop-ups, no candidate-facing accusations. The candidate's interview experience is calm and professional.
The ideal tool does exactly what it says on the box, and no more. The candidate agrees, joins, interviews, and uninstalls, and nothing in that chain should surprise them. That's the design principle behind every decision above.
Things people ask us first.
Every hiring manager has the same six questions. Here they are, with straight answers.
Can candidates see that they're being monitored?
Yes. Consent is explicit. Aiseptor is not stealth spyware: candidates are shown what the agent does before they join, and the agent disappears the moment the session ends. We take the position that trustworthy hiring is transparent hiring.
What happens if my candidate's internet drops mid-session?
The session pauses rather than ends. A partial audit is still captured, and the admin can allow the candidate to rejoin from the dashboard once connectivity is back. No silent failures, no lost progress.
Does Aiseptor work on macOS?
Yes, Windows and macOS are both supported with the same candidate experience. There is no Linux candidate agent yet; Linux candidates should complete their interview on a Windows or macOS machine.
Can I whitelist my company wiki or the coding platform we use?
Yes, in plain English. The dashboard accepts prompts like "allow docs.python.org, leetcode.com, and our internal wiki at wiki.company.com" and the AI policy engine expands that into an exact allow-list you can review before the session starts.
Will it slow down my candidate's machine?
No. The Aiseptor agent runs in user-space with minimal overhead and does not touch kernel drivers. Local development (localhost, Docker, language runtimes) is unaffected. Candidates consistently report no perceptible slowdown.
How much does it cost?
Pricing is usage-based and billed per exam session, pay-as-you-go, with custom volume pricing for large cohorts or high monthly session counts. Your first 5 sessions are on us. We're refreshing our published rates, so talk to us for current pricing.
Does Aiseptor replace our existing proctoring?
No. Aiseptor operates at the device and network layer: the layer where invisible overlays and on-device LLMs actually live. Behavioural or physical proctoring (webcam, gaze, human reviewers) sits above Aiseptor and complements it.
Custom volume pricing is available on request; talk to us.
Trust
Early, but already load-bearing.
Aiseptor is running right now in live academic assessment at an Ivy League research university, and under partnership LOI with a leading technical assessment platform. You are not the first person trusting us with a real interview.
Live academic assessment at an Ivy League research university, 100+ candidates through pilot runs
Multiple assessment platforms have signed paid pilot agreements, not just conversations
Aiseptor also has a US provisional patent application filed on its ephemeral network-layer enclave architecture (patent pending, filing details available on request), and has identified and neutralised more than 25 distinct cheating techniques in production, each one a named tool, evasion method, or side channel logged in our internal threat catalogue, not a marketing estimate.
Your next round of interviews. Five sessions. On us.
SSO onboarding in 60 seconds via Google or Microsoft. No credit card. You'll see exactly what Aiseptor blocked in the audit log before you ever talk to anyone on our team.