Articles

  • Step-by-Step Guide to Automating the Loan Approval Process

    Automating this process is necessary to keep up with industry demand. It also improves the accuracy and efficiency of your operations.

    Published on:: 2024-08-10 19:04:56

  • Protect Your Lending App with Device Fingerprinting, App Behavioral Data, and Face Recognition

    Fraud and identity theft target lending apps. Protecting customer data and keeping credit underwriting reliable matters. Device fingerprinting is a practical place to start.

    Published on:: 2024-08-10 19:03:58

  • Prevent identity and synthetic fraud in consumer lending

    Identity fraud in consumer lending puts pressure on risk management from several angles. It increases PR exposure, fraud losses, and credit risk. It also damages customer trust and adds operational workload.

    Published on:: 2024-08-10 19:03:06

  • Interest Rates: Risk-Based Pricing

    In consumer lending, decision-making focuses on anti-fraud, underwriting, credit limits, cross-sell and upsell, portfolio management, and debt recovery.

    Published on:: 2024-08-10 19:01:13

  • Face recognition and comparison for onboarding

    Deep learning has made face recognition central to remote identity verification. This article explains how online face comparison fits into onboarding, which photo types are involved such as user uploads, selfies, and liveness captures, which matching sources are used such as government identity services or ID photos, and where common validation checks reach their limits, including error level analysis, EXIF metadata inspection, and saved-quality heuristics.

    Published on:: 2024-08-10 18:48:28

  • How to integrate Maxmind minFraud Insights into a decision engine

    This guide shows how to integrate Maxmind minFraud Insights into your decision engine. It covers account setup, license key generation, HTTP authentication in the Decisimo portal, attribute mapping, and decision flow deployment. Follow these steps to call minFraud in parallel with other data sources, so your decision logic can evaluate IP data and risk scores quickly at runtime.

    Published on:: 2024-08-10 18:48:28

  • How to integrate Maxmind minFraud Score into a decision engine - Decisimo

    This guide shows how to add Maxmind minFraud Score to your Decisimo platform. It covers account setup and API key retrieval, then creating an HTTP-authenticated data source. It also explains how to connect that source to your decision flow, run parallel calls for speed, and deploy the decision logic to an endpoint.

    Published on:: 2024-08-10 18:48:28

  • How to integrate Maxmind minFraud Factors into a decision engine

    Integrate Maxmind minFraud Factors into Decisimo decision logic. Create a Maxmind account and generate an API key. Then configure an authenticated Maxmind data source in the Decisimo portal, add it to your decision flow, and deploy it to evaluate IP and overall risk scores.

    Published on:: 2024-08-10 18:48:28

  • How to integrate WhatIsMyBrowser into a decision engine

    This guide shows how to integrate WhatIsMyBrowser's API into a Decisimo decision engine and add parsed User-Agent data to your decision logic. It covers how to get an API key and create a WhatIsMyBrowser data source in the Decisimo portal. Then, you call that source from a decision flow to flag bot-like User-Agent patterns and other malicious signals.

    Published on:: 2024-08-10 18:48:28

  • How to integrate BINLIST.net into a decision engine

    Integrate BINLIST.net into a Decisimo decision flow to enrich card BIN data for deterministic decision logic. Create a data source from the template, map the first 6–8 BIN digits, not the full card number, and deploy the flow so external calls run in parallel with low latency.

    Published on:: 2024-08-10 18:48:28