Large-Volume, Highly-Effective P2P Lending Risk Control

Challenges
Deepfake&Synthetic Identity in Applications
Deepfake&Synthetic Identity in Applications

Fraudsters combine real and fake data to create identities that pass basic checks but default later.

Limited Identity-Based Risk Signals
Limited Identity-Based Risk Signals

Decision models often lack strong identity validation inputs, increasing uncertainty.

Forged or Manipulated Documents
Forged or Manipulated Documents

Fake IDs and altered documents reduce the reliability of traditional verification.

Fully Remote Verification Risks
Fully Remote Verification Risks

Digital-only onboarding increases exposure to spoofing and identity manipulation.

Multi-Account Abuse
Multi-Account Abuse

Users create multiple identities to bypass platform limits and increase exposure.

Prevent Loan Fraud Users — Build Trust into Every Lending Decision
Verify Users at Application
ID OCR and face matching confirm identity, while liveness detection blocks deepfake or synthetic users.
Validate Applications in Real Time
Biometric verification ensures the applicant is physically present.
Detect Duplicate Users
1:N face search identifies users attempting to open multiple loan accounts.
Strengthen Credit Risk Signals
Identity data enhances decision models and flags suspicious behavior.
Learn More
Built for High-Risk, High-Volume Lending Environments
Detection of deepfake or synthetic identities and application fraud, reducing default risk and preventing fraudulent approvals
Detection of deepfake or synthetic identities and application fraud, reducing default risk and preventing fraudulent approvals
Real-time identity verification during application, enabling faster approvals while maintaining strong risk control
Real-time identity verification during application, enabling faster approvals while maintaining strong risk control
1:N face matching for duplicate identity detection, preventing multi-account abuse and credit exploitation
1:N face matching for duplicate identity detection, preventing multi-account abuse and credit exploitation
Document and biometric cross-verification, ensuring application authenticity and reducing forged submissions
Document and biometric cross-verification, ensuring application authenticity and reducing forged submissions
Identity-driven risk signals integration, strengthening decision models and improving overall portfolio quality
Identity-driven risk signals integration, strengthening decision models and improving overall portfolio quality
Why Choose Us
Advanced Identity Verification Technology
Combines OCR, face recognition, and liveness detection for strong identity assurance.
Real-Time Processing Capability
Supports instant verification during application workflows.
Scalable Risk Control Infrastructure
Handles high volumes of applications without performance loss.
Flexible Integration
Easily integrates into existing lending platforms via APIs and SDKs.
99% Fraud Detection Accuracy
Identify high-risk identities before approval decisions are made.
260+ AI Patents & Proven Financial Deployments
Backed by innovation and real-world usage in high-risk environments.
Context-Aware Risk Detection
Detect abnormal user environments and risky situations during verification, such as suspicious backgrounds, multiple faces in frame, low-light or concealed environments, or signs of user coercion.
Device & Environment Integrity Detection
Identify high-risk digital environments, including rooted devices, emulators, or unstable systems, to prevent manipulation and strengthen trust in identity verification results.
Scenarios
Remote Client Onboarding (eKYC)
Verify client identity through ID document recognition, facial recognition, and liveness detection to ensure only real users enter the platform.
Instant Loan Application Verification
Perform real-time face matching and identity validation during loan application to reduce fraudulent approvals.
Fraudulent Application Detection
Use visual risk control models to identify forged documents, abnormal environments, and high-risk client signals.
Duplicate Account & Multi-Application Prevention
Leverage 1:N face search to detect repeated registrations and block users attempting to exploit multiple accounts.
Secure Login & Identity Authentication
Enable biometric authentication to prevent account takeover and unauthorized access to lending accounts.
Ongoing Risk Monitoring & Behavioral Analysis
Continuously analyze device, behavior, and biometric signals to detect suspicious activity and prevent fraud across the user lifecycle.
Learn More
FAQ
Why is identity verification critical in P2P lending?
Because P2P platforms offer instant loans with remote onboarding, they are highly vulnerable to identity fraud, deepfake or synthetic identities, and loan abuse.
Can Face++ support real-time loan approval processes?
Yes. Face++ provides millisecond-level identity verification, enabling instant decision-making during loan applications.
How does Face++ detect duplicate or fake accounts?
Through 1:N face search and database comparison, Face++ identifies repeated registrations and flags high-risk users.
Is Face++ suitable for global P2P platforms?
Yes. Face++ supports ID verification across 200+ countries and regions, making it ideal for cross-border lending platforms.
Can Face++ integrate with existing lending systems?
Yes. Face++ offers APIs and SDKs that can be seamlessly integrated into loan origination systems and digital lending platforms.
Contact Us
Select the purpose of your inquiry and our team will respond shortly.
icon
Talk to Sales
Book a demo, pricing, or solution consultation
icon
Technical Support
Integration help, API issues, troubleshooting
icon
Become a Partner
Reseller & partnership opportunities
Pre-Sales
Write down your requirements, our pre-sales consultant will contact you immediately.
Mobile Number
Business Email
Please specify your scenarios, applications, and technical requirements
Company Name
Submit