Highlights:
- Fraud isn’t rare—it’s routine in remote interviews and async assessments
- Candidates now use tools like ChatGPT and Gemini to cheat smarter, not harder
- Most hiring platforms can’t detect modern fraud techniques
- Hiring managers often don’t realize they’re being duped until it’s too late
- Feenyx exposes hidden behaviors (multi-face detection, AI answer spotting, IP shifts, and more)
- You don’t have to slow down hiring to improve confidence—Feenyx gives you both
Intro: The New Face of Interview Fraud
Interview fraud used to mean someone showing up late or faking a resume. Cute.
Now? It’s fully remote body-doubling, ChatGPT whisperers, and candidates pasting answers from anonymous co-pilots feeding them real-time instructions. If you're still relying on gut feel or resume screeners, you’re not hiring—you’re guessing.
Fraud isn’t an edge case anymore. In fact, it’s the default for certain roles—especially high-skill, high-pay technical and knowledge jobs. You don’t see it because you’re not equipped to. Traditional tools just aren’t built to detect AI-injected answers, subtle tab-switching, or face-swapping tactics. But Feenyx is.
Here’s how to fight interview fraud without breaking your hiring flow—and why most platforms get it totally wrong.
Interview Fraud is the New Normal
Candidate Case: A software engineer passed a take-home challenge with near-perfect code—except he couldn’t explain how he did it in a follow-up interview. Feenyx flagged it: the original submission matched AI-generated code patterns, and the candidate’s screen activity showed multiple tab switches to ChatGPT.
Hiring Team Insight: Teams often assume a well-written answer means a well-qualified candidate. But AI-generated submissions are grammatically perfect and logically sound. Without tools to detect AI signatures, you can’t tell the difference.
Why This Matters: The remote-first work era removed traditional visual and behavioral cues that would help sniff out red flags. A sharp answer might once signal a sharp mind—now it might just signal a good AI prompt. Feenyx restores visibility, helping teams trust what they see.
Assessment Outcome: In a recent use case, 37% of flagged submissions in a 3-week window showed AI-lifted response patterns. These weren’t obvious plagiarists—they were skilled prompt engineers.
Industry Insight: According to the LHRA report, 75% of employers are already using some form of automation, but most still rely on shallow signals—like test completion or time-on-page. Fraud, especially AI-enabled fraud, flies beneath that radar. Feenyx doesn’t just analyze what was answered—it analyzes how it was answered.
Takeaway: Fraud isn’t random anymore. It’s deliberate, tech-enabled, and increasingly hard to spot—unless you’re looking in the right places.
Most Platforms Can’t Keep Up
Process Shift: Hiring teams using video interviews reported a major confidence gap—especially for remote candidates. They suspected fraud, but couldn’t prove it. After implementing Feenyx, fraud signals like facial mismatch, copy-paste patterns, and multi-face detection gave them new visibility.
Assessment Outcome: Feenyx detected a 3x higher fraud rate than recruiters expected. Most flagged cases involved tab-switching to known AI tools or answer patterns matching AI-generated text.
Why This Happens: Most hiring software was built pre-LLM boom. They weren’t designed to analyze source patterns, detect real-time tab-switches, or compare responses against generative AI models. They’re built for workflow—not truth detection.
Hiring Team Insight: One team running a bulk hiring sprint found over a dozen candidates who had perfectly identical writing samples. Without Feenyx’s AI signature check, it would’ve slipped through.
Deep Dive: A major challenge is the “invisible fraud stack” used by bad actors: remote desktop sharing, AI response scripting, auto-translators, and voice modulation. Feenyx’s layered detection system isn’t just watching the candidate—it’s analyzing the environment, behaviors, and content patterns in real-time.
Takeaway: If you’re using tools that weren’t built for AI-era fraud, you’re flying blind.
Fraud Detection Without Hiring Drag
Hiring Team Insight: One customer cut interview time in half by replacing manual resume screens and live screens with Feenyx async assessments and co-pilot summaries. They flagged 20+ cases of identity fraud without adding a single hiring step.
Candidate Case: A recruiter flagged a candidate for being too perfect—and they were right. Feenyx showed an IP switch during the session, face masking, and a code paste directly from ChatGPT. That candidate was removed before wasting the hiring manager’s time.
How Feenyx Does It: The platform runs fraud analysis in parallel with candidate evaluation—AI doesn’t need breaks or meetings. It checks behavior while you're reviewing skill. That’s speed and scrutiny, hand in hand.
Process Shift: One company created an express hiring lane using Feenyx data—if the assessment was clean, aligned, and no fraud flags appeared, the candidate skipped directly to final interview.
Metric to Watch: Customers using Feenyx reported a 41% reduction in time-to-decision and a 2.4x increase in hiring manager satisfaction—because they spent time only on real, qualified candidates.
Takeaway: Feenyx bakes fraud detection into your existing flow—no extra interviews, no extra tools.
Fraud Isn’t Binary—It’s Contextual
Assessment Outcome: A candidate used AI to structure an answer but customized it heavily. Feenyx flagged the tool usage, but the hiring manager saw it as creative problem-solving.
Hiring Team Insight: Another team used Feenyx to compare two similar candidates. One used AI to cheat; the other used it to ideate. The system showed not just who used tools—but how and when.
Why Context Matters: Hiring is rarely black and white. The line between smart tooling and deception is thin—and shifting. Feenyx doesn’t make the call for you. It gives you the story behind the data.
Candidate Case: One candidate, a customer success rep, used AI to reframe her writing in clearer language but didn’t copy any material. The team used this as a sign of adaptability, not a red flag.
Added Value: Hiring teams can customize fraud sensitivity thresholds. Want to allow Grammarly but not ChatGPT? Want to flag face-mismatch only in technical interviews? Feenyx lets you dial it in.
Takeaway: The point isn’t to catch cheaters. It’s to understand candidate behavior—so you hire smarter, not just stricter.
Confidence is a Hiring Superpower
Process Shift: One company went from 4 hiring rounds to 2 after using Feenyx insights to skip redundant interviews. With AI-verified answers and behavioral signals, they felt confident making offers faster.
Candidate Case: A candidate who had been previously rejected at another firm aced the Feenyx process—showing real-time thought process, no signs of fraud, and a standout async assessment. That candidate was hired—and promoted 3 months later.
The Strategic Advantage: Confidence is a multiplier. It accelerates time-to-hire, raises the signal-to-noise ratio, and builds trust across the org. Feenyx arms you with evidence, not guesses.
Hiring Team Insight: One VP of TA said Feenyx became their “confidence engine.” Teams were no longer paralyzed by uncertainty—they moved.
Enterprise Impact: As teams scale, consistency becomes mission-critical. Feenyx gives every recruiter, sourcer, and hiring manager access to the same signals—so decisions aren’t just faster, they’re fairer too.
Takeaway: Confidence compounds. When you trust the data, you make decisions that stick.
Feenyx Isn’t Just Fraud Detection—It’s Fraud Immunity
Fraud detection is just one thing Feenyx does—and it’s baked into everything. From async assessments to live interviews, Feenyx quietly surfaces red flags while giving you a full picture of each candidate.
The result? Smarter hiring without second-guessing. Confidence at every stage. A co-pilot that helps you move fast and protect quality.
Ready to move from reactive to resilient? Start your free trial and see how Feenyx helps you hire with eyes wide open.
