Articles

  • 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.

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

  • How to Detect Potential Merchant Fraud

    Merchant fraud in BNPL and point of sale lending is rarely random. It usually leaves visible traces across phone numbers, welcome calls, payment channels, and account access patterns. This article explains how risk teams can spot those signals, investigate them, and put tighter controls around merchant behavior.

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

  • Event-Driven Antifraud in eCommerce

    Event-driven antifraud in eCommerce starts with a simple idea: collect the right events, then make fraud decisions based on what the data shows. This article covers bot prevention at the infrastructure layer, behavioral analytics, and the event signals a rule engine can use to flag suspicious purchases before they go through.

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

  • The Exciting Evolution of Browser Fingerprinting

    Browser fingerprinting goes well beyond cookies. This article tracks how methods evolved from basic browser identifiers to canvas, WebGL, and device-based fingerprinting, and why each step changed the tradeoff between detection, privacy, and fraud prevention.

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

  • Antifraud articles

    This collection maps the core techniques, signals, and control points behind antifraud work. It covers device and browser fingerprinting, IP and email checks, rule engines, case management, and detection patterns for account takeover, synthetic identity fraud, merchant fraud, and bot activity.

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

  • Media Device Fingerprinting: A Modern Method for Online Tracking

    Media Device Fingerprinting uses browser APIs to collect details about a user’s audio and video devices and turn that data into a tracking signal. This article explains how it works, why it matters for online fingerprinting, where it falls short, and what can reduce its effectiveness.

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

  • Evercookie: A Persistent Tracking Mechanism

    Evercookie is a JavaScript technique that writes the same identifier across multiple browser storage locations to resist deletion. If one store is cleared, it rebuilds from the others, which enables persistent, cross-session tracking. This article explains how it works, its technical and legal limits, and practical steps users can take to reduce exposure.

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

  • Using a Rule Engine to Tailor Your Antifraud Strategy

    A rule engine gives you control over antifraud logic. Instead of relying on generic checks, you can combine third-party data, IP block lists, and your own transaction signals to define rules that fit your risk profile. This article shows how to tailor antifraud rules for ecommerce, including IP address checks, velocity analysis, and custom conditions that help flag suspicious activity before it becomes a loss.

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

  • Improving Login Security with a Rule Engine

    This article explains how a rule engine uses decision logic to detect account takeover and bot attacks. It covers escalating authentication, including OTP and other challenges, PST integration, and practical rule examples you can deploy to block suspicious logins fast.

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

  • Stopping Synthetic Identity Fraud with SEON and Decisimo - Decisimo

    Synthetic identity fraud exploits small gaps in identity data. This article explains how SEON adds digital footprint and address analysis to registration checks, and why that mix helps businesses spot suspicious identities before they open an account or complete a purchase.

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