Zero Assist vs InterviewGuard
Both Zero Assist and InterviewGuard detect AI cheating at the operating-system level — not through webcams or screen sharing. They are the two closest tools in the category. Here is an honest breakdown of where each one fits.
Both detect at the OS level.
InterviewGuard is a credible, system-level detector that markets broad coverage and deepfake / proxy-candidate checks. Zero Assist focuses on real-time forensic evidence and tight ATS workflow integration. The right choice depends on what your hiring pipeline needs most.
InterviewGuardBroad Coverage
- 01System-level detection across a wide tool list, plus deepfake and proxy-candidate checks
- 02Strong solutions-page coverage for startups, enterprise, and TA leaders
- 03Distributed via a Microsoft Store listing; evidence presented as discrete events
Zero AssistReal-Time Forensic
- 01Sub-500ms WebSocket alerts to a live interviewer dashboard — not just a post-session report
- 02Three independent signals per tool: process name, window title, and network endpoint
- 03Native ATS integrations (Greenhouse, Lever, Workday) push the integrity score back to the candidate profile
Evidence, workflow, and residency.
If your priority is defensible evidence inside your existing hiring workflow — with data kept in-region — these are the differences that matter.
Alerts reach the interviewer during the session — with the exact tool, process name, and timestamp — so they can probe in the moment instead of reviewing a report after the decision is made.
Sessions auto-create when a candidate hits the technical screen stage; the integrity score flows back into Greenhouse, Lever, or Workday.
Session data is stored on self-hosted infrastructure in Mumbai, India — aligned with DPDP Act 2023 and GDPR.
A timestamped, exportable log built for candidate dispute resolution.
The agent runs as a standard user process and exits cleanly when the session ends.
Hand-maintained signatures for Cluely, Parakeet AI, Final Round AI, Interview Coder, and 20+ more.
See the difference on a live call.
We will show you exactly what an interviewer sees the moment an AI tool launches — and how the score lands in your ATS.
Zero Assist and InterviewGuard are the two closest products in the AI interview-cheating detection category — both detect cheating tools at the operating-system level rather than relying on webcams or screen sharing. InterviewGuard markets broad tool coverage along with deepfake and proxy-candidate detection. Zero Assist focuses on real-time forensic evidence, tight ATS workflow integration, and India data residency.
What InterviewGuard Does Well
InterviewGuard provides credible system-level detection across a wide list of AI tools and adds deepfake and proxy-candidate checks. It has well-developed solutions pages for startups, enterprise, recruiters, and talent-acquisition leaders, and is distributed through a Microsoft Store application. For teams that want broad coverage in a single product, it is a reasonable choice.
Where Zero Assist Differs
Zero Assist fires sub-500ms WebSocket alerts to a live interviewer dashboard during the session, so interviewers can react while the interview is happening rather than reviewing a report afterwards. Each tool is matched on three independent signals — process name, window title, and network endpoint. Zero Assist integrates natively with Greenhouse, Lever, and Workday so the integrity score flows back to the candidate profile, and it stores session data on self-hosted infrastructure in Mumbai, India, aligned with the DPDP Act 2023 and GDPR.
Which One to Choose
Choose InterviewGuard if your priority is the broadest single-product tool list including deepfake and proxy checks. Choose Zero Assist if your priority is real-time forensic evidence inside your existing ATS workflow, with data kept in-region and a defensible report for dispute resolution. Both operate at the OS level, where modern AI cheating tools cannot hide.