Articles
IP reputation tools for fraud and bot decisions
Learn which IP reputation sources fit your traffic and how to turn their answers into sign-up, login and checkout decisions.
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.
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.
How a fraud rules engine handles checks and rules
See how a fraud rules engine handles failed checks, keeps confirmed fraud current and lets your team test rule changes against past decisions.
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.
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.
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.
Why Case Management Matters in Anti-Fraud Work
Fraud teams need more than detection. They need decision logic, case tracking, and a clear path from alert to resolution. This article explains why case management matters in anti-fraud work, which functions it should support, and how automation removes repetitive tasks and preserves control over the investigation.
Centauri: A New Approach to Device Fingerprinting - Decisimo
Centauri uses a different method for device fingerprinting. Instead of relying on standard hardware and software signals, it looks at memory-level variation to identify devices with high accuracy and stable results. This article explains how the method works, why it differs from traditional approaches, and where it could fit in antifraud operations.
The Conflict Between Data Minimization Techniques and the Rise of Fraudulent Synthetic Profiles
Privacy controls reduce the data companies can collect, but they also make synthetic profile fraud harder to detect. This article explains where that tradeoff appears in online payments, how fraudsters use data minimization techniques to hide activity, and why stronger detection logic is needed when fewer signals are available.