Screen through applicants easily with our application fraud detection, using advanced analytics and real-time data integration while keeping regulatory compliance in check.
Application fraud detection is complex due to data limitations, manual processes, and fraudsters' evolving tactics. Our solution addresses these challenges to enhance fraud prevention across digital lending
This anti-fraud strategy for lending platforms is a multi-step process that spans the entire user journey, from registration to loan disbursement. It combines device fingerprint, email and phone verification checks and KYC++ to stop fraudsters early, preventing them from proceeding further
The multi-layered defense, together with credit data insight is implemented at the loan application to disbursement stage. This is to identify loan stacking or detect last-minute suspicious behavior
Explore our blog to understand application fraud detection, the latest prevention strategies, and how online fraud detection can safeguard online lending and cash loan businesses from evolving risks
It helps detect fake registration, identity fraud and blocks loan stacking through real-time risk assessment. This lowers financial losses due to fraud and increases operational efficiency.
The multi-layered defense system can reduce false positives, which results in better customer experience where genuine applicants can go through the process smoothly without unnecessary interruptions. This approach is particularly beneficial for industries such as digital lending and other financial services, where accurate fraud detection is essential for maintaining trust and security.
A cross-referencing analysis of email and phone verification, device intelligence and behavioral analytics can aid in verifying legitimacy of contact details, detecting multi-account creation, and differentiating between real-users/bots/fraudsters.
Machine learning models can analyze vast amount of data, adapt to evolving fraud techniques and enable proactive fraud detection. Our knowledge graph helps to connect various data points (email, phone numbers and device) to build a comprehensive user profile.
Real-time decisioning that continuously monitors applicants' actions and makes instant decisions with anomalies can help to stop fraud in time.
Unlike a generic, one-size-fits-all approach to tackle fraud, which often falls short, we specifically design its anti-fraud strategy for digital lenders, addressing the complexities of the loan application process.
The solution connects multiple datapoints — email, phone number, device, and user behaviors—using a knowledge graph to identify complex fraud schemes.
Additionally, alternative credit data can also be incorporated to assess applicants more holistically, even those with limited traditional credit histories.
Cloud-Based Infrastructure: High availability, scalability, and low-latency processing. This allows for faster processing of applications and fraud checks, even during high traffic periods, without sacrificing performance.
API Integration with Real-Time Decisioning: Use secure APIs to integrate fraud detection, KYC, and credit scoring into the application process. Real-time API calls allow for instant validation and risk assessment, enabling faster decisions without compromising security.
With over a decade of anti-fraud expertise, our application fraud detection solution adapts dynamically to evolving fraud tactics by using accumulated background data, authoritative data sources, and advanced analytics. Leveraging real-time risk scoring, behavior analysis, and device fingerprinting, it detects synthetic identities, bot-driven submissions, and suspicious patterns. This comprehensive approach protects against sophisticated fraud, ensuring a secure and seamless application process.
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TrustDecision empowers businesses with AI-driven decision engine designed for fraud prevention, credit risk decisioning and ensure regulatory compliance. It leverages on machine learning models and big data capabilities to deliver real-time risk insights with accuracy and automate decision-making process to deliver maximum operation efficiency.
