Articles

  • Credit bureaus in Egypt: A closer look at I-Score - Decisimo

    Egypt’s credit bureau market is led by I-Score, the Egyptian Credit Bureau. This article explains how it was set up, what data it collects on consumers and SMEs, who uses it, and why its role matters in a country where much of the population remains unbanked.

    Published on:: 2024-08-10 18:35:26

  • How Lending in Africa Is Changing in 2024: Lendsqr, Anchor, and Evolve Credit - Decisimo

    Africa’s lending market is changing quickly, driven by platforms built for scale, speed, and access. This article examines how Lendsqr, Anchor, and Evolve Credit are changing lending and banking infrastructure, and what their different models mean for financial inclusion in 2024.

    Published on:: 2024-08-10 18:33:05

  • A Clear Fingerprinting Alternative to ThreatMetrix - Decisimo

    Fingerprint.com is a practical alternative to ThreatMetrix for teams that need user identification without opaque pricing or vague positioning. This comparison covers its technical foundation, accuracy, industry fit, and pricing model, so you can assess whether it fits your security and fraud use case.

    Published on:: 2024-08-10 18:32:07

  • 3 Free Tools for Analyzing IP Addresses and Identifying Malicious Actors - Decisimo

    IP addresses can indicate a wide range of threats, from botnets to credential stuffing. This article reviews three free analyzers, Project Honey Pot, Barracuda Central, and AbuseIPDB, and outlines specific anti-fraud rules and decision logic to identify and block malicious IPs.

    Published on:: 2024-08-10 18:29:56

  • Antifraud Hub

    Explore the antifraud tactics, tracking methods, and rule-based approaches covered in this hub. From fingerprinting and synthetic identity fraud to case management and login security, these articles show how fraud teams can structure decision logic to detect risk and respond faster.

    Published on:: 2024-08-10 18:29:56

  • Antifraud operations models

    Choosing an antifraud model starts with 2 questions: how much control you want, and how much fraud expertise you have in-house. This article compares outsourced, hybrid, and internal approaches, and shows where each model fits in eCommerce operations.

    Published on:: 2024-08-10 18:29:56

  • Advanced Fraud Rule Engines: Complex Policies and Third-Party Data

    Fraud prevention is no longer a single check. It depends on a fraud rule engine that enriches data from multiple sources, applies clear knockout rules, and combines scoring with decision logic in real time. This article explains how complex policies, third-party data, behavioral signals, and machine learning fit together in a practical antifraud setup.

    Published on:: 2024-08-10 18:29:56

  • Understanding BIN Attacks in More Detail: An Advanced Analysis

    In the fast-changing world of cybercrime, BIN (Bank Identification Number) attacks have become a serious threat. These attacks have shifted from simple operations to more complex schemes supported by artificial intelligence (AI). As they become harder to spot, businesses and individuals need to understand how BIN attacks work, what impact they have, and what it takes to prevent them.

    Published on:: 2024-08-10 18:29:56

  • The Fallacy of Evading Fingerprinting by Disabling JavaScript

    Disabling JavaScript does not stop fingerprinting. This article explains why that assumption fails, how no-JS fingerprinting works, and which browser signals still expose identifying data through normal HTTP requests.

    Published on:: 2024-08-10 18:29:56

  • Canvas Fingerprinting: A Quiet Method for Tracking Online Users

    Canvas fingerprinting uses the HTML5 canvas element to generate a repeatable device identifier based on how a browser renders graphics. This article explains how the technique works, its role in cross-site device fingerprinting, its practical limits, and common spoofing methods.

    Published on:: 2024-08-10 18:29:56