How Digital Footprint Analysis Enhances Fraud Prevention and Credit Scoring
A 'digital footprint' refers to the vast collection of data individuals leave behind through their online activities—both intentionally and unintentionally. Many people underestimate the extent and detail captured in their digital footprints, yet this information proves incredibly valuable for alternative credit scoring and fraud prevention. Digital footprints
Leveraging Social Graphs for Fraud Prevention and Credit Scoring
A social graph is a visual and mathematical model illustrating the interconnections and relationships among individuals within a social network. These graphs reveal personal bonds, group affiliations, and interactions, forming the backbone of today's major social media platforms. Facebook, for example, has famously maintained the world’s largest
How Social Media Data Enhances Fraud Prevention and Credit Scoring
Social media accounts have become an invaluable tool in alternative credit scoring, offering deep insights into individuals' backgrounds and behaviors. By examining social media activity, lenders can quickly access detailed information such as professional history, current occupation, residential location, travel patterns, social connections, marital status, and more. Why Use
Traditional vs. Alternative Credit Scoring
At its core, credit scoring allows financial institutions to evaluate the creditworthiness of individuals and businesses. Traditionally, this assessment occurs during loan applications and relies heavily on data sourced from credit bureaus and application forms. Traditional credit scoring typically examines several key financial indicators: * Proof of Income: Verification through income
Alternative Credit Scoring Landscape 2025
Traditional credit scoring methods, though widely used, exclude a staggering number of individuals globally—approximately 3 billion people—due to insufficient or absent credit histories. Often labeled as "credit invisibles," these individuals face considerable challenges accessing loans and other financial services, emphasizing an urgent need for alternative scoring
HES FinTech and Scoreplex Sign MoU to Foster Inclusive Finance through Alternative Data
Scoreplex has signed a Memorandum of Understanding (MoU) with HES FinTech, developing lending automation processing systems that provide cost-efficiency and drive fast operations for financial service companies. This collaboration represents a significant advancement in utilizing HES FinTech's AI-driven credit decisioning capabilities alongside Scoreplex’s expertise in alternative data
Revolutionizing Credit Scoring and Fraud Prevention with Alternative Data
In an era where traditional credit scoring models fall short of accurately assessing the unbanked and underserved populations, alternative data has emerged as a transformative solution. By leveraging non-traditional sources like social media activity, subscription data, marketplace behaviors, and even darknet intelligence, businesses can not only enhance credit risk models
Practical guidance for compliance teams applying AI agents to KYB and due diligence, improving speed, consistency, and audit readiness.
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