Candidate Fraud Detection

Talview verifies that the person applying, testing, interviewing, and onboarding is the same real individual, every time. ID verification at registration, continuous face and voice matching, and device monitoring work together so interviewers can trust who's on the other side of the screen. Hiring fraud is evolving fast. Proxy test-takers, deepfaked interviews, and forged documents now bypass screening methods that check identity only once.

Candidate fraud detection is the practice of verifying that the person applying, testing, interviewing, and onboarding is the same real individual throughout the entire hiring journey.

Talview brings together identity verification, digital ID checks, and real-time behavioral signals into one system, so talent teams can make confident decisions without slowing down the candidate experience. It runs across three stages of the hiring journey: candidate verification, interview proctoring, and interview insights.

Complete Fraud Prevention Solution

ID Fraud Detection

Digital ID verification captures a selfie or government ID and matches it against baseline images, catching forged, borrowed, or mismatched documents at the point of entry.

Real-Time Face & Voice Matching

Continuously confirms the same person stays on camera throughout the session, and cross-checks voice patterns against the verified baseline to catch mid-session swaps.

Device & Multi-Face Monitoring

Flags unexpected device switches, unauthorized secondary devices, second persons in frame, and empty-seat "no-face" scenarios in real time.

Third-Party & AML Screening

Cross-references candidate identities against third-party ID and AML databases, adding a layer of verification for high-risk roles.

Lockdown & Activity Oversight

Secure browser lockdown, disabled shortcuts, and live screen monitoring prevent unauthorized tools and LLM assistance during assessments and interviews.

Deepfake Scans

A 360-degree environment scan plus secondary camera monitoring exposes hidden cheating setups, screen-sharing tricks, and deepfake artifacts.

From Detection to Decision: How It Works

Capture a Verified Baseline — Candidates confirm identity with a selfie and ID document at registration, creating the reference point for every later check.
Verify Continuously, Not Once — Face and voice matching run throughout tests and interviews, catching mid-session swaps that one-time checks miss.
Monitor the Environment — Device, camera, and browser signals combine into one layer that flags risk the moment it appears.
Screen Against External Data — High-risk profiles are cross-checked against third-party ID and AML databases, typically resolving within hours.
Alert Recruiters Instantly — Flags surface directly in the recruiter's dashboard or ATS, so no manual video review is required to catch a red flag.
Keep an Auditable Record — Every verification event is timestamped and stored, giving talent acquisition and compliance teams a defensible paper trail.

From Detection to Decision: How It Works

Capture a Verified Baseline — Candidates confirm identity with a selfie and ID document at registration, creating the reference point for every later check.
Verify Continuously, Not Once — Face and voice matching run throughout tests and interviews, catching mid-session swaps that one-time checks miss.
Monitor the Environment — Device, camera, and browser signals combine into one layer that flags risk the moment it appears.
Screen Against External Data — High-risk profiles are cross-checked against third-party ID and AML databases, typically resolving within hours.
Alert Recruiters Instantly — Flags surface directly in the recruiter's dashboard or ATS, so no manual video review is required to catch a red flag.
Keep an Auditable Record — Every verification event is timestamped and stored, giving talent acquisition and compliance teams a defensible paper trail.

Why Customers Love Us

We work hand in hand with Talview to enhance our Remote Proctoring capabilities and to improve our customer test taking journey.

Talview has been an essential part of our online learning product and have helped us to ensure that we meet and exceed our governance requirements. Talview has been a partner throughout online learning development and can’t recommend them enough.

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Complete Fraud Prevention Solution

ID Fraud Detection

Real-Time Face & Voice Matching

Device & Multi-Face Monitoring

Third-Party & AML Screening

Lockdown & Activity Oversight

Deepfake Scans

From Detection to Decision: How It Works

From Detection to Decision: How It Works

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