Financial Industry Anti-Fraud Solution

Financial Industry Anti-Fraud Solution provides intelligent identity anti-fraud capabilities for industries such as internet finance, lending platform, banks, insurance, etc. It covers key scenarios such as user registration, large-amount transfers, and loan assessment. The solution helps enterprises improve fraud prevention capabilities, operational efficiency, and user experience, effectively responds to diverse business needs and potential risks.

Business Cooperation

Anti-Fraud Solutions for Financial Scenarios

Scenarios

User Registration & Onboarding & Profile Modification

Loan Application Submission & Money Withdraw

Identity & Document Verification

Fund Disbursement

FinDocX

ID/Driver License/Passport/oters Card/Other Documents OCR

Bank Statement/Proof of assets/Contracts Parsing

FinAuth

eKYC - Finance Grade Liveness Check & Verification

Face search

Duplicate User/Black List User Alert

Face riskDetect

Wearable, Scene, Emotion, Behavior and etc. Recognition

Intelligent Identity Anti-Fraud Scenario

FinAuth leverages liveness detection, deepfake detection, behavioral risk control, and other technologies to effectively identify and prevent identity fraud and impersonation, ensuring user authenticity and transaction security.

Reduce Fraud Risk and Improve Loan Integrity

Combines deepfake detection with liveness detection to effectively prevent identity fraud and secure loan business operations.

High Success Rate and Lower Customer Churn

Maintains high accuracy even under complex lighting conditions, reducing failures in identity verification that may lead to customer loss.

Optimized User Experience and Higher Conversion Rate

Offers multiple liveness detection modes ,balancing security and smooth user experience, improving user satisfaction and conversion.

FinAuth-Intelligent Identity Anti-Fraud

FinDocX

Deepfake detection

Randomized Factor Detection

Liveness detection

Large-visual-model

Device Risk Detection

Face comparing

Visual label

Risk behavior detection

User case

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

Intelligent Identity Anti-Fraud

Client Pain Points

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.
Improve fund security and user experience.

Repayment Capacity Assessment

Client Pain Points

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 remakable reduction in identity theft.
Enhanced customer segmentation and optimized loan approval efficiency, leading to better conversion.

Intelligent Identity Anti-Fraud

Client Pain Point

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 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 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

Client Pain Points

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 system 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.

Next-Gen Face Recognition for Trusted Identity Verification

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