Hyring Meet checks for 20 integrity signals on every interview it runs. This isn't an add-on you switch on for certain candidates or certain roles; it happens automatically, in the background, for the full length of every call, alongside the live transcript, notes, and scoring the AI is already generating. Neither the recruiter nor the candidate needs to set anything up for it to work.
These signals fall into a few categories: who's actually present on the call, whether the candidate is engaging naturally with the interviewer, and whether their answers are their own. On the presence side, multiple face detection flags it if more than one person appears in frame, and multiple voice detection flags additional speakers picked up by the microphone, even if they never appear on camera. On engagement, eye-gaze pattern analysis tracks whether a candidate's eyes keep drifting off-screen in a way that suggests they're reading from another device rather than speaking naturally, and lip-sync verification checks that what's said on camera lines up with the audio. Tab-change monitoring flags when a candidate switches away from the interview window mid-session, and plagiarism detection checks written or spoken answers against known sources.
Each of these signals surfaces as a flag on the candidate's report after the call, giving your interviewers and hiring managers a clear, evidence-backed read on interview integrity rather than a gut feeling based on how the conversation felt. Because scoring, transcript quality, and integrity checks all run off the same recording, none of this adds extra steps to how you already run interviews on the platform.
