Zero Assist — Interview Integrity Monitor — is a real-time forensic platform built for engineering and technical hiring teams running remote interviews. It detects AI cheating tools the moment they launch on a candidate's machine, giving interviewers a live alert and a complete evidence trail — without disrupting the flow of the interview.
Traditional video interviews give hiring teams zero visibility into what a candidate is actually doing off-screen. AI cheating tools like Parakeet AI, Cluely, Final Round AI, and invisible screen overlays can run invisibly in the background, whispering answers in real time or generating code on demand. Screen sharing only shows what the candidate chooses to show — it cannot detect overlay tools, background processes, or audio-based assistance.
The result is a broken evaluation process. Companies make hiring decisions based on performance that was partially or fully AI-assisted. Skilled candidates who did not cheat lose out. Bad hires discovered post-join cost months of onboarding and lost productivity.
Zero Assist deploys a lightweight forensic agent on the candidate's machine at the start of each interview session. The agent monitors the OS process list against a continuously updated database of 20+ known AI cheating tools. When a flagged process starts — Parakeet AI, Cluely, Final Round AI, Interview Coder, LockedIn AI, GitHub Copilot, or any other tool on the list — the interviewer dashboard receives an alert in under 500 milliseconds via a live WebSocket connection.
The agent also detects screen overlay rendering patterns, audio routing anomalies consistent with earpiece-based assistance, and virtual machine environments. It requires no administrator access, captures no screenshots, and exits cleanly when the session ends — leaving no persistent installation on the candidate's machine.
The Zero Assist dashboard shows a live session card for each active interview. When an alert fires, the card displays the flagged process name, its risk severity (High, Medium, or Low), and the exact timestamp. High-severity alerts trigger an audio chime so the interviewer does not need to watch the screen continuously. After the session, a full forensic report is available for review, audit, or candidate dispute resolution.
Zero Assist is used by engineering teams, technical recruiters, and hiring managers at companies that run remote technical interviews and need confidence that their evaluation results reflect genuine candidate ability. It is particularly valuable for roles where AI-assisted cheating is most tempting — software engineering, data science, and any role with a live coding component.
Zero Assist uses a credit-based pricing model. New accounts receive free credits to run their first monitored sessions with no credit card required. To get started, create a free account, generate a session code, and send the agent download link to your candidate before the interview.