Free white paper
Remote Hiring Integrity in the Age of Invisible AI
How candidates now use live AI assistance during interviews, why webcam and lockdown proctoring no longer close the gap, and what actually works. Written for hiring managers and talent leaders — no security background required.
- A plain-English taxonomy of real-time interview cheating tools
- Why conventional proctoring misses the modern generation
- The two-pillar model: detect on-device, deter off-device
- Evidence, privacy, and a fair candidate experience
15 pages · PDF · Updated 2026
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What's inside
Eight sections, one clear picture.
From the threat landscape to what a credible defense looks like — written to be read by a hiring leader, not a security engineer.
- Executive summary — the new integrity era, by the numbers.
- Why this matters now — live AI assistance as a funded industry.
- A practical taxonomy — the tool categories showing up in interviews.
- Why traditional proctoring isn't enough — built for exams, not live interviews.
- Capifiq's two-pillar model — detect on-device, deter off-device.
- Evidence, privacy & candidate experience — credible and fair.
- The current landscape — where Capifiq fits versus incumbents.
- Why it's indispensable — remote hiring is a permanent channel.
Why it matters
The risk is no longer hypothetical.
A funded ecosystem of real-time interview assistants can now listen, read the screen, and feed answers hidden from the interviewer. The data has caught up.
of hiring managers have caught applicants using AI deceptively.
Greenhouse, 2025 AI in Hiring Report
candidate profiles worldwide predicted to be fake by 2028.
Gartner
companies tied to North Korean fake-worker schemes.
U.S. Department of Justice, Nov 2025
The defining shift is the answer surface. Older cheating needed a visible tab or a second monitor. The modern generation displays answers in overlays and windows engineered not to appear in screen sharing — which is exactly why interview integrity now has to examine the environment itself, not just the video call. The paper explains what that means for your process.
The approach
Two halves of one problem.
Detect on-device
Assistance running on the candidate's machine — hidden AI overlays, remote-control sessions, virtual machines, virtual cameras, browser copilots, display tampering — is caught and sealed as evidence. What we detect →
Deter off-device
Help no software can see — a phone, an earpiece, an accomplice off-camera — is deterred through proven interviewing methodology, included with every account.
Get the paper
Read it before your next remote hire.
Fifteen pages that turn a fast-moving threat into a clear plan. Free, instant, and written for the people who make the call.