Financial Anti-Fraud Solution | AI Identity Verification & AML

Anti-Fraud Solutions for Financial Scenarios

Scenarios

User Registration & Onboarding & Profile Modification

Loan Application Submission & Money Withdrawal

Identity & Document Verification

Fund Disbursement

ID Verification & Data Extraction

ID, Driver License, Passport, Other Documents OCR

Bank Statement, Proof of Assets/Contracts Parsing

FinAuth

eKYC - Liveness Check & 1:1 Verification

Device Risk Detection and Deepfake Attack Detection

Face Search

Duplicate User and Black List User Alert

Visual Risk Analysis

Wearable, Scene, Emotion, Behavior and More Recognition

FinAuth eKYC & AML Compliance Suite

End-to-End Identity Verification and Anti-Money Laundering

Ensure Regulatory Compliance and Mitigate Financial Crime

Combines AI-powered identity verification with real-time AML screening to detect fraud, prevent money laundering, and meet global compliance standards.

Maximize Onboarding Success and Minimize User Drop-off

Delivers high verification accuracy across diverse conditions and devices, reducing false rejections that lead to abandoned applications and lost revenue.

Accelerate Customer Acquisition with Frictionless Experience

Offers intelligent verification workflows that balance robust security with seamless user experience, boosting completion rates and customer satisfaction.

FinAuth-Intelligent Identity Anti-Fraud

FinDocX OCR

Deepfake Guard AI

Device Fingerprint

Liveness Check

Visual AI Model

Risk Behavior

Face Match

Visual Evidence

AML

Integrated eKYC & AML Workflow

Document Verification

OCR extractionAuthenticity checkData validation

Biometric Authentication

Liveness detectionFace matchingDeepfake defense

AML Screening

PEP & sanctions checkAdverse mediaRisk scoring

Ongoing Monitoring

Transaction monitoringBehavioral analyticsSuspicious activity alerts

Use Cases

From identity verification to credit risk control, empowering enterprises to achieve secure, efficient, and intelligent business upgrading.

Intelligent Identity Anti-Fraud

Challenge

A leading consumer finance company faced challenges from increasingly sophisticated fraud attacks (such as AI deepfake), as traditional verification methods are unable to cope with.

Solution

Deployed FinAuth's financial-grade face verification services, integrating visual foundation models and randomized factor detection to build a robust identity anti-fraud defense system.

Results

Detection rate for deepfake and video injection attacks improved by 95% while maintaining high success rate.

Improved fund security and user experience.

Repayment Capacity Assessment

Challenge

A loan platform needed to improve the accuracy of pre-loan credit evaluation and reduce risks of impersonation and forged documents.

Solution

Implemented a visual risk control system to verify applicant identities, analyze image data, detect fraud, and support repayment capacity evaluation.

Results

Fraud detection accuracy significantly improved, with a remarkable reduction in identity theft.

Enhanced customer segmentation and optimized loan approval efficiency, leading to better conversion.

Intelligent Identity Anti-Fraud

Challenge

The credit card center of a bank encountered significant difficulties stemming from outdated facial recognition algorithms, which failed to detect AI-based deepfakes. Besides, inadequate device-level protection and limited strategic flexibility of the current solution hindered its ability to comply with regulatory standards.

Solution

Adopted the FinAuth system, with "3D liveness" technology to combat fake face attacks, flexibly configure strategies, and upgrade the active defense system.

Results

Successfully intercepted numerous suspicious authentication attempts, reducing default risk.

Expected to save hundreds of millions annually in losses; passed regulatory audits while maintaining success rate and security.

Visual Risk Control Anti-Fraud

Challenge

A regional commercial bank was plagued by fraudulent loan applications submitted by malicious intermediaries using forged documents. Traditional risk control systems, which relied heavily on structured data, struggled to effectively identify such fraudulent activities.

Solution

The bank implemented a visual risk control system powered by a multi-modal large model capable of analyzing unstructured image data, which can detect over 70 types of fraud-related risk patterns.

Results

Intercepted over 180 high-risk loan applications per month after system deployment.

Reduced the bad loan rate from fraudulent intermediaries to 10%.

Achieved a 25% increase in overall credit profitability.

YUANLI TECHNOLOGY SINGAPORE

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FinAuth FinDocX

Intelligent Identity Verification for Financial Services