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Fraud Prevention within Identity Verification

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FRAUD PREVENTION Built for high-risk identity verification in regulated industries

AI-driven fraud is evolving rapidly and is increasingly targeting the financial services sector, telecommunications companies and insurance providers, where malicious identity access directly translates into financial risk.

PXL Vision safeguards digital onboarding and authentication processes with a multi-layered approach to fraud prevention, designed for real-world attack scenarios.

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The New Fraud Landscape

Synthetic identity fraud is one of the fastest-growing threats, combining real and fabricated data to create identities that can pass traditional KYC checks.

Deepfakes allow attackers to impersonate real customers or generate entirely synthetic personas that appear legitimate, even passing standard liveness detection.

Injection attacks target the verification flow itself:

  • Injected or replayed video streams
  • Virtual cameras and emulators
  • Manipulated verification sessions 

 

These methods are highly scalable and are becoming increasingly popular for accessing financial assets, purchasing SIM cards or change sensitive customer data.

Explore our product PXL Ident
Multilayered defence with PXL Vision

Seamless deepfake detection within PXL multi-layer security architecture

PXL Vision detects fraud through correlated analysis across multiple independent layers:

  • REST API for custom workflows 
  • Works alongside Presentation Attack Detection, Injection Attack Detection & Screen Detection & Device Fingerprinting
  • Results returned alongside liveness, 
    document & face-match — no workflow changes needed
  • Fraud prevention extendable through 
    NFC Identification & Fraud database

 

No single signal decides, risk is assessed holistically across the entire verification process.

Why Layered Detection is Critical?

In high-risk environments, fraud rarely relies on a single technique.
Attackers combine deepfakes, synthetic identities, and injection methods to bypass isolated controls.

Single-layer detection is no longer sufficient.

How it works:

01
Capture & Integrity Checks

Biometric signals, device authenticity, and environment analysis ensure a genuine interaction.

02
Secure Processing

End-to-end encryption prevents tampering and session manipulation.

03
Multi-Layer Analysis

AI models detect face deepfakes, injection attempts, document fraud, and behavioral anomalies.

04
Decisioning

  • Fraudulent sessions are stopped before onboarding or transaction approval 

     

  • High-risk cases can be escalated to manual review 

     

  • Legitimate users pass seamlessly 

Deepfakes

IMPACT Business Impact for Regulated Industries

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Fraud prevention at scale

Protects against attacks such as account takeover, SIM swap fraud, payout fraud, and unauthorized access.

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Compliance-ready

Supports regulatory requirements (e.g. AML/KYC, FINMA, eIDAS/ZertES) with auditable processes.

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Operational efficiency
Reduces manual reviews, false positives, and customer support workload.
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Conversion without compromise
Strong security without adding friction to the customer journey.

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Identity fraud is not just a security issue, it is a direct financial and reputational risk.

Let us help your business with comprehensive, forward-looking protection throughout the entire identity verification process, ensuring secure onboarding, compliance and a smooth customer experience.

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