Every score, earned. Every candidate, confirmed.
Remote hiring makes it hard to see who's actually in the room. AI Proctoring runs continuous behavioral checks before, during, and after every assessment and interview, so your team knows the candidate who passed is the one you're hiring.
90% reduction in candidate fraud.
Remote hiring means you can't see who's in the room.
Asynchronous assessments and video interviews have made hiring faster, but they've also made it easier for candidates to get outside help. AI tools can generate responses in real time. Another person in the room can do the same.
The person who aced the test may not be the person you hired.
Proxy test-takers and interview swaps are real problems in high-volume and remote hiring. If identity continuity isn't tracked across every step, a candidate can pass with one person's performance and show up as someone else.
A flag isn't useful without context.
A blunt pass/fail leaves your team with no basis to act. Candidates sometimes look suspicious for innocent reasons, and hiring teams need the underlying evidence to make a defensible call — not just an alert to react to.
See exactly what happened.
Start every session knowing it's the right person.
Before an assessment or interview begins, AI Proctoring confirms session readiness: geo-location and IP are recorded, the candidate's identity is captured and validated against submitted documentation, and device and permission checks verify that monitoring is active. Duplicate profile scanning flags candidates attempting re-entry under a different identity.
Continuous monitoring, not a single snapshot.
During every assessment and interview, AI Proctoring tracks the behavioral signals that matter: device activity (tab switching, external app use, copy-paste, and screen sharing), environmental signals (multiple faces on camera, background voices, and abnormal lighting), and authenticity signals (lip-sync inconsistencies, liveness analysis, and audio checks that flag synthetic speech and AI-generated responses). Automated integrity scoring and timestamped session records capture the full picture.
Evidence your team can act on.
After every session, AI Proctoring generates a candidate report with a cheating probability score backed by the specific signals that triggered it. Code submissions are checked for plagiarism and cross-profile reuse. Audio is analyzed for duplication across sessions. Your team sees what was flagged, why, and how significant it is. Nothing in the report automatically rejects a candidate.
Frequently asked questions.
See people in higher resolution.
