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Deepfake Interviews Detection

Prevent Face-Swap & Voice-Cloning Fraud in Online Interviews

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What Are Deepfake Interviews?

 

Deepfake interviews occur when candidates leverage generative AI tools to manipulate their appearance or voice during remote interviews. Deepfake interviews are rapidly emerging as one of the most serious threats to remote hiring. Candidates increasingly use face-swap applications and voice-cloning to impersonate qualified professionals during live and recorded interviews.

 

Common deepfake tactics include:

  • Face-swap technology replacing the candidate’s face with another person

  • AI-powered voice-cloning engines answering interview questions

  • Synthetic identity creation using stolen credentials

These attacks compromise hiring quality, expose organizations to compliance risks, and can lead to costly mis-hires.

Common Deepfake Detection Interview Techniques Recruiters Face

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Face-Swap Indicators

Blurred facial edges


Unnatural blinking or lip movement


Lighting mismatches caused by face-swap overlays

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Voice Consistency & Speech Pattern Checks

Robotic or flat speech


Delayed responses and Repetitive phrasing

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Question Variation & Sudden Prompts

Read text aloud


Turn their head or adjust the camera


Respond quickly to behavioral prompts

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Candidate Verification at Interview Start

Government ID verification


Webcam-based face matching at login

How Talview Detects Deepfakes in Hiring

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AI-Based Facial & Liveness Detection

Talview analyzes micro-expressions, facial texture inconsistencies, eye movement patterns, and depth cues to detect synthetic or manipulated video feeds.

 

Key capabilities:

  • Live liveness detection (prevents replay attacks)

  • Detection of facial overlays 

  • Continuous identity validation throughout interviews

Voice Clone Detection

AI-generated voices often reveal subtle acoustic anomalies. Talview detects voice-cloning engines by analyzing:

  • Pitch stability and unnatural modulation

  • Audio latency mismatches

  • Voice-to-face synchronization errors

  • Repetitive speech artifacts common in cloned audio

 

Continuous Candidate Verification

Talview moves beyond one-time verification by enabling continuous identity checks throughout the interview.

Capabilities include:

  • Biometric face matching against verified IDs

  • Continuous facial comparison to detect face substitution

  • Alerts when identity drift occurs during deepfake interviews

Behavioral & Proctoring Intelligence

Talview’s proctoring engine monitors:

  • Eye gaze and attention patterns

  • Suspicious off-screen cues

  • Unnatural head and body movements common in deepfake setups

This is especially effective in detecting real-time deepfake injection tools.

Secure Interview Infrastructure

Talview’s interview platform is designed to reduce attack surfaces:

  • Encrypted video streams

  • Tamper-resistant session recording

  • AI-generated fraud risk scores for recruiters

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Protect Your Hiring from Deepfake Interview Fraud

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