TrustDecision | Building Trust and Security with Application Fraud Detection

We Understand Your Challenges

Limited Data Sources

A limited set of data sources can result in an incomplete view, especially with the rise of digital lending platforms these days

Manual Review Processes

Time-consuming and labor-intensive, which can lead to delays in approving legitimate applications and increased operational costs

Over-Reliance on Static Rules

Static rules and thresholds allow fraudsters to adapt to these rules easily, making them less effective over time

Inadequate Identity Verification

Fraudsters use stolen or fake identities, plus facial spoofing or deepfake to bypass weak eKYC capabilities
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Inadequate Cross-Channel Analysis

Data checks of applicants across multiple channels are underutilized, making it easier for fraudsters to exploit vulnerabilities in the application process

Anti-Fraud Strategy Designed Specifically for Digital Lending Platforms

Comprehensive

End-to-End Anti-Fraud Solution for Loan Default Prevention

Safeguards business against user defaults with a comprehensive approach, from account protection at onboarding to conducting integrated analysis at loan issuance. A robust fraud detection is implemented throughout the entire customer journey, minimising default risk and protecting bottom line.
More about KYC++, identity verification and device fingerprint

Robust

Multi-Dimensional Defence Against Diverse Fraud Risk

A multi-faceted approach that ensures online lending platform is protected against a wide array of sophisticated fraud tactics. Tackle network risks such as synthetic identities and account takeovers by analysing connection patterns and digital footprints. Device risk detection identifies anomalies like device spoofing and emulation, while behavioural risk analysis flags inconsistent user actions that signal potential fraud. Additionally, our fraud ring detection uncovers organised fraud attempts by linking suspicious activities across accounts and transactions.

Intelligent

Unsupervised Learning with Intelligent Risk Feedback Loop

Utilising unsupervised learning, the solution creates an intelligent risk feedback loop for enhanced fraud detection. It blocks suspicious activities online using aggregated models, while offline recovery continuously updates blacklist and refines risk management strategies. This dynamic approach ensures ongoing optimisation, revealing subtle patterns that improve fraud prevention outcomes over time

Read More About Application Fraud Detection

Case Study: Detecting Application Fraud on an Indonesian Cash Loan Platform

August 6, 2024

Unmasking Fraud Applications: Strategies to Safeguard Your Business

June 5, 2024

Bank Fraud: Strategies to Protect Your Financial Institution

December 5, 2023

A Peace of Mind, Really

Compliance Assurance

Maintain comprehensive and accessible privacy policies that outline data collection, storage, retention, and sharing practices related to device fingerprinting. We keep ourselves up to date with evolving privacy regulations including GDPR and CCPA to guarantee the safety and integrity of your data.

Use with Ease

Integrate our application fraud detection to your existing infrastructure through API / SDK.

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