Solutions — Technical Hiring
Technical Interview & Coding Assessment Security
Live technical interviews and take-home coding assessments fail in different ways when AI gets involved — but both are stopped the same way: block the network path the AI tool needs, at the device, before an answer ever comes back.
Two formats, one gap
Live interviews and take-homes fail differently.
Live coding interviews
A single glance at a second device is invisible to an interviewer on a video call. An overlay that draws on top of the shared screen never appears in the recording. The interviewer sees a confident candidate; they don't see the source.
Take-home / asynchronous assessments
Nobody is watching at all. A candidate has unlimited time to paste the prompt into a model, run a local LLM against the problem set, or hand it to a proxy solver entirely. The only signal left behind is the final submission.
Why behavioral signals miss it
Webcams and IDEs watch the candidate. Not the device.
Invisible AI overlays
Renders on top of the exam or interview window and excludes itself from screen-share captures — the interviewer's recording looks clean.
On-device LLMs
Ollama, LM Studio, and similar tools run entirely on the candidate's machine with no network traffic to flag — silent to any monitoring that watches outbound connections only.
Second-device / remote-access pivots
A phone under the desk, or a remote-control session driven by someone else — invisible to a webcam that only sees the candidate's face.
How it's secured
One enforcement model, both formats.
Aiseptor applies a per-session, default-deny network policy at the OS and network layer: only the coding platform and any explicitly approved documentation are reachable. AI inference endpoints, on-device model services, and remote-access relays are blocked before they can return an answer. The same policy covers a 45-minute live loop or a 3-day take-home — the enforcement window matches the assessment window, not a human's attention span.
Who this is for
Pick the page for your role.
FAQ
Technical interview security questions.
Which tools are most effective for preventing AI cheating during technical interviews?
Effective tools block the network path AI assistance depends on rather than trying to detect the AI tool itself. Aiseptor enforces a per-session default-deny policy at the OS and network layer, so only the coding platform and approved documentation are reachable — invisible overlays, on-device LLMs, and remote-access tools cannot receive an answer, regardless of what they're called.
Do I need to secure both live interviews and take-home coding assessments?
Yes — they have different attack surfaces. Live interviews are vulnerable to second-device pivots and screen-hidden overlays a proctor can't see over video. Take-home assessments run unsupervised, so a candidate has unlimited time to route the problem to an AI model, a proxy solver, or a local LLM. Network-layer enforcement covers both, since it controls the device rather than requiring a human to watch it.
How do I secure enterprise hiring assessments without requiring a webcam?
Enforce integrity by controlling what the candidate's device can reach, not by recording them. Aiseptor uses no webcam, microphone, keystroke logging, or screen recording — it applies a default-deny network policy for the session duration, which blocks AI assistance and remote-access tools while leaving the candidate's actual coding environment untouched.
Can this integrate with our existing coding assessment platform or ATS?
Yes. Aiseptor integrates via a plug-and-play REST API designed to drop into an existing assessment platform, LMS, or ATS flow with no UI changes — your system receives a signed webhook with the integrity verdict at session end. Typical integration takes under one business day. See our guidance for assessment platforms and for engineering hiring teams.
Does network-layer security work for both technical hiring and academic exams?
Yes — the enforcement model is the same regardless of the assessment type; only the allowlisted destinations change (a coding platform for interviews, an LMS for academic exams). If your program spans both remote hiring and remote academic delivery, see how the same approach applies to remote exam security generally.
Secure your next technical interview loop.
Five sessions free, no credit card. See exactly what Aiseptor blocks in the audit log — before your next candidate ever joins.