Hiring integrity guide
What Is Interview Fraud?
Interview fraud is any misrepresentation of who is answering, or of how the answers are produced, during a hiring conversation or assessment. It spans identity substitution, a proxy answering off camera or by remote control, and AI assistants generating answers in real time on the candidate's own machine. Video platforms and browser tools were not designed to see any of it, which is why device-level signals and documented evidence have become part of a defensible hiring process.
The categories hiring teams actually face
It helps to separate interview fraud into categories, because each one is defeated by a different control. This is written for defenders: the point is to recognise what a category looks like from the reviewer's side, not to describe how any of it is carried out.
Categories overlap in practice. A single session can involve an assistant on the same machine and a second person off camera, which is exactly why correlated evidence beats any single signal.
- Identity substitution: a different person sits the interview or assessment than the one hired.
- Proxy assistance: another person supplies answers off camera, through chat, audio, or remote control of the machine.
- Real-time AI assistance: a desktop assistant or overlay produces answers on the candidate's own screen.
- Environment manipulation: virtual machines, screen-capture exclusion, or secondary devices used to hide the assistance layer.
- Credential and history misrepresentation, which sits alongside session fraud rather than inside it.
Why browser-based tools cannot see the assistance
Browser extensions and lockdown browsers observe the page, the tab, and often the webcam. Their visibility ends where the browser process ends, and that is precisely where modern AI assistance lives.
Desktop assistants and answer overlays render above every other window, are frequently excluded from screen capture and screen sharing, and never interact with the assessment tab. Remote-control tools, virtual machines, injected keyboard input, and a second device off camera are equally invisible from inside the browser.
- Native overlay applications draw over the assessment and are often excluded from screen share.
- Remote-access tools allow another person to drive the machine with no browser-visible trace.
- Virtual machines let the assessment run inside a controlled environment with helpers outside it.
- Injected or synthesized keyboard input can enter answers that were never physically typed.
- A second phone, tablet, or monitor off camera leaves nothing at all in the browser.
What device-level detection observes
ScreenComply supports trustworthy results by reviewing the whole session and flagging concerns for human review, with evidence attached.
Why this matters commercially and legally
A candidate hired on someone else's performance is expensive in ramp time, re-hiring, and in regulated settings, in audit exposure. At the same time, accusing a candidate without evidence carries its own legal and reputational risk.
The practical answer is documentation. Consistent, timestamped session evidence applied uniformly to every candidate lets a hiring team act on a real finding and, just as importantly, clear a candidate who was flagged by a weak signal.
Turning signals into a report someone can defend
ScreenComply supports trustworthy results by reviewing the whole session and flagging concerns for human review, with evidence attached.
Language is deliberately factual rather than accusatory, because the institution or employer makes the decision, not the software. Reports export to PDF and can be shared through a secure link for academic-integrity hearings, HR reviews, and compliance audits, with configurable retention including zero-retention operating modes.
Where to go next
Frequently asked questions
How common is interview fraud?
Public figures vary widely and most are not independently verifiable, so ScreenComply does not publish a number. What is consistent across the hiring teams we work with is that AI-assisted answering is now reported far more often than proxy interviewing was.
Can a video interview platform detect interview fraud?
ScreenComply supports trustworthy results by reviewing the whole session and flagging concerns for human review, with evidence attached.
Is detecting AI assistance the same as detecting fraud?
No. Detection produces evidence about the session environment. Whether it constitutes fraud is a judgment the employer makes under its own policy, which is why reports are written in factual, non-accusatory language.
What should a hiring team do with a flagged interview?
ScreenComply supports trustworthy results by reviewing the whole session and flagging concerns for human review, with evidence attached.
Does ScreenComply work with our existing interview tooling?
Yes. It runs alongside the video or assessment platform you already use rather than replacing it, and produces its own integrity report for the session.
ScreenComply is under contract with the State of Montana. Security and compliance documentation is shared after an introductory call.
See a session, a detection, and a report
A short walkthrough of the evidence reports and review experience your team would receive.