Zero Assist is a forensic monitoring platform built for engineering and technical hiring teams who conduct remote interviews. As AI-assisted cheating becomes a growing problem in remote hiring, Zero Assist gives interviewers complete visibility into what's happening on the candidate's machine — without disrupting the interview experience.
How it works: A lightweight agent is sent to the candidate before the session begins. It runs silently in the background, scanning for AI coding assistants (ChatGPT, GitHub Copilot, Parakeet AI), screen overlay tools, virtual machine environments, and other suspicious activity. The interviewer sees a live integrity score, real-time alerts, and a full process timeline — all from a browser-based dashboard, no installation required on the interviewer's side.
Key capabilities:
Silent forensic agent — zero pop-ups, zero candidate disruption
Detects AI tools, screen overlays, VM environments, and suspicious processes in real time
Live integrity score streamed to the interviewer dashboard via WebSockets
Post-session audit reports for compliance and hiring review
Integrates with ATS platforms including Greenhouse, Lever, and Ashby
Works across any video interviewing platform (Zoom, Meet, Teams)
Who uses it: Engineering managers, technical recruiters, and HR teams at companies that run remote coding interviews and need defensible, documented integrity data — especially in regulated industries or for senior/sensitive roles.