USE CASE

Fraud Prevention within Identity Verification

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.

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.

PXL Vision’s Multi-Layer Defense

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

Passive Liveness Detection
Deepfake Detection (face swaps, synthetic artefacts)
Injection & Screen Attack Detection
Document Verification & Forensics
NFC Verification (cryptographic chip validation)
Anomaly & Device Intelligence

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.

Capture & Integrity Checks

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

Secure Processing

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

Multi-Layer Analysis

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

Decisioning

Fraudulent sessions are stopped before onboarding or transaction approval
High-risk cases can be escalated to manual review
Legitimate users pass seamlessly

IMPACT Business Impact for Regulated Industries

Fraud prevention at scale

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

Compliance-ready

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

Operational efficiency

Reduces manual reviews, false positives, and customer support workload.

Conversion without compromise

Strong security without adding friction to the customer journey.

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.

Talk to our experts

Fraud Prevention within Identity Verification

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

The New Fraud Landscape

PXL Vision’s Multi-Layer Defense

Why Layered Detection is Critical?

Capture & Integrity Checks

Secure Processing

Multi-Layer Analysis

Decisioning

IMPACT Business Impact for Regulated Industries

Fraud prevention at scale

Compliance-ready

Operational efficiency

Conversion without compromise

READ MORE More on the topic of fraud prevention and Deepfakes

Identity Fraud

Deepfakes - Fraud Risk for Digital Processes

Identity Theft

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

PXL Vision

Trust Center

Help & Contact