How does cross-customer resume duplication work without leaking data?

Privacy-preserving hash-based overlap checks across the RightMatch customer base — no resume content is ever shared.

Is the fraud-detection signal admissible in compliance review?

Every signal, every score, every model version, and every auto-action is logged with timestamps. Used in EEOC reviews, bias audits, and compliance reporting.

NEWNow live in ChatGPT — drive hiring from any LLMSee how

Fraud Detection

Catch deepfakes, ghost candidates, and resume fraud — before they reach your team.

Q: How do you avoid false positives on legitimate candidates?

Every flag is a signal, not a verdict. The composite risk score requires multiple corroborating signals before auto-block triggers. Published false-positive rate under 0.4%.

AI-driven fraud detection flags identity fraud, AI-generated interview audio, resume duplication across applicants, IP/location spoofing, and camera-replay attacks in real time. Stop bad-faith applicants at the door — without slowing legitimate ones down.

Voice cloning & deepfake audio detection in every interview

Camera-replay & liveness checks on every video frame

Cross-applicant resume duplication detection

IP / geo / VPN flagging with optional auto-block

Try it for free See sample fraud report

SOC 2 Type II

14%

of high-volume applicants flagged in 2025

99.2%

AI voice-detection confidence

<2s

time-to-flag a high-risk candidate

"Noah Walters"

Senior Engineer · applied 3 minutes ago · IP 102.89.x.x

Blocked

Fraud signals detected

5 of 12 checks failed

Resume reused across 4 candidate identitieshigh

Matched 92% to "Jordan Banks" (rej. Q2), "Liam Walters" (rej. Q3) + 2 more

Interview audio: AI-generated voice detectedhigh

Voice cloning artifacts at 0:14, 1:32, 4:48 (99.2% confidence)

Location mismatch — IP vs. claimedmed

Resume says Austin, TX; live IP from Lagos, NG

Camera replay artifacts detectedhigh

Frame interpolation pattern consistent with pre-recorded playback

Identity document not verifiedmed

Skipped Persona verification step

Verdict — Block & flag. 5 critical signals match a known identity-fraud pattern. Auto-quarantined and reported to your security team.

Also see →AI Interviewer High-volume hiring Frontline workers

12,000+ hiring teams worldwide trust RightMatch

How Fraud Detection works

Every signal, every step — automatically.

RightMatch runs a layered set of checks across the resume, the interview, and the network signal — not just at submission, but continuously during the interview.

Multi-layered signal capture

Resume hash. Voice biometric. Camera frame analysis. IP/geo/VPN cross-reference. Identity-document optional. All in parallel, all transparent.

Live signal stream

✓Resume hashed & cross-referenced

✓Voice biometric capture

✓Liveness + camera-replay check

✓IP / geo / VPN cross-reference

○Identity doc verification (Persona)

Real-time risk scoring

A composite risk score updates live as signals arrive. Cross 75% and the candidate is auto-quarantined — you decide what happens next.

Real-time risk scoreHigh risk

Low

92%

Score rises as more signals match the fraud pattern. Threshold trips at 75% → auto-block.

Audit trail you can defend

Every signal, every score change, every action logged. Defensible to your legal team, your candidates, and your regulators.

Audit log · per candidate

32:08 Resume hash match (0.92)
32:14 AI voice detected (0:14)
33:01 Risk score: 71% → 92%
33:02 AUTO-BLOCK fired

The fraud landscape changed. Hiring tools didn't.

Modern fraud requires modern detection.

AI-generated voices, deepfake video, ghost candidates, resume mills — high-volume hiring is being attacked at industrial scale. RightMatch flags it where it happens, when it happens.

🎤

Voice cloning & AI audio

11Labs, Resemble, ElevenLabs — we test every interview audio frame for the artifacts these systems leave behind.

🎥

Deepfake & camera replay

Frame interpolation, lip-sync misalignment, lighting consistency. Liveness checks at random intervals.

📄

Resume duplication across candidates

Hash every resume. Flag overlap across your pipeline AND across other RightMatch customers (privacy-preserving).

🌐

IP / geo / VPN signal

Mismatch between claimed location and live IP. Known proxy services. Tor exit nodes. All optional inputs to risk score.

🪪

Identity doc verification

Optional Persona / Stripe Identity integration for high-trust roles. Document + selfie match before final stage.

📜

Defensible audit trail

Every signal, every model version, every decision logged. Built to defend in court and to satisfy compliance review.

We were drowning in AI-generated applications — over a thousand a week for a single sales role. RightMatch's fraud layer flagged 18% of them in the first month. We didn't even know that was happening until we had the visibility.

Henry Galloway

Director of Talent · Lumina Group

1,000+

applications/week filtered

18%

flagged as bad-faith

genuine candidates wrongly blocked

Fraud Detection · FAQ

Questions, answered.

Every flag is a signal, not a verdict. The composite risk score requires multiple corroborating signals before auto-block triggers, and you set the threshold per role. Single signals (e.g., a VPN) never block on their own. We also publish our false-positive rate quarterly — it's tracked at under 0.4% across high-volume customers.

Explore the platform

Other AI hiring tools in RightMatch

🎙AI Interviewer

AI video interviews at scale

Async, generated from your JD, transcribed, AI-scored.

Learn more

📄Resume Analyzer

AI resume screening at scale

1,000 resumes scored in 60 seconds with cited evidence.

Learn more

🤖MCP for LLMs

Drive hiring from your LLM

Send interviews and evaluate candidates from ChatGPT, Claude, Gemini.

Learn more

Find your Right match.

Start free. Connect your ATS in two clicks — or talk to your LLM. Hire your next teammate before the end of the month.

Try it for free Book a demo

Try it for free

NEWNow live in ChatGPT — drive hiring from any LLMSee how

Fraud Detection

Catch deepfakes, ghost candidates, and resume fraud — before they reach your team.

Voice cloning & deepfake audio detection in every interview

Camera-replay & liveness checks on every video frame

Cross-applicant resume duplication detection

IP / geo / VPN flagging with optional auto-block

Try it for free See sample fraud report

SOC 2 Type II

14%

of high-volume applicants flagged in 2025

99.2%

AI voice-detection confidence

<2s

time-to-flag a high-risk candidate

"Noah Walters"

Senior Engineer · applied 3 minutes ago · IP 102.89.x.x

Blocked

Fraud signals detected

5 of 12 checks failed

Resume reused across 4 candidate identitieshigh

Matched 92% to "Jordan Banks" (rej. Q2), "Liam Walters" (rej. Q3) + 2 more

Interview audio: AI-generated voice detectedhigh

Voice cloning artifacts at 0:14, 1:32, 4:48 (99.2% confidence)

Location mismatch — IP vs. claimedmed

Resume says Austin, TX; live IP from Lagos, NG

Camera replay artifacts detectedhigh

Frame interpolation pattern consistent with pre-recorded playback

Identity document not verifiedmed

Skipped Persona verification step

Verdict — Block & flag. 5 critical signals match a known identity-fraud pattern. Auto-quarantined and reported to your security team.

Also see →AI Interviewer High-volume hiring Frontline workers

12,000+ hiring teams worldwide trust RightMatch

How Fraud Detection works

Every signal, every step — automatically.

RightMatch runs a layered set of checks across the resume, the interview, and the network signal — not just at submission, but continuously during the interview.

Multi-layered signal capture

Resume hash. Voice biometric. Camera frame analysis. IP/geo/VPN cross-reference. Identity-document optional. All in parallel, all transparent.

Live signal stream

✓Resume hashed & cross-referenced

✓Voice biometric capture

✓Liveness + camera-replay check

✓IP / geo / VPN cross-reference

○Identity doc verification (Persona)

Real-time risk scoring

A composite risk score updates live as signals arrive. Cross 75% and the candidate is auto-quarantined — you decide what happens next.

Real-time risk scoreHigh risk

Low

92%

Score rises as more signals match the fraud pattern. Threshold trips at 75% → auto-block.

Audit trail you can defend

Every signal, every score change, every action logged. Defensible to your legal team, your candidates, and your regulators.

Audit log · per candidate

32:08 Resume hash match (0.92)
32:14 AI voice detected (0:14)
33:01 Risk score: 71% → 92%
33:02 AUTO-BLOCK fired

The fraud landscape changed. Hiring tools didn't.

Modern fraud requires modern detection.

AI-generated voices, deepfake video, ghost candidates, resume mills — high-volume hiring is being attacked at industrial scale. RightMatch flags it where it happens, when it happens.

🎤