This guide provides information about how to use CA RiskMinder (referred to as RiskMinder later in the guide) Java classes and methods to enable your online application to programmatically perform risk evaluation and related tasks. This document describes the Java implementation of the RiskMinder SDK.
Sample Code provides a fully-functional sample code that you can run to test the supported user-related operations, risk evaluation, and post-evaluation functionality of RiskMinder.
RiskMinder is an adaptive authentication solution that evaluates each online transaction in real time by examining a wide range of collected data against the configured rules. It then assigns each transaction a risk score and advice. The higher the risk score, the greater is the possibility of a fraud, the negative the advice. Based on your business policies, your application can then use this risk score and advice to approve or decline a transaction, ask for additional authentication, or alert a customer service representative.
RiskMinder offers you the flexibility to modify the configuration parameters of any of the risk evaluation rules in keeping with your policies and risk-mitigation requirements. It also gives you the flexibility to modify the default scoring configurations, scoring priorities, and risk score for any rule and selectively enable or disable the execution of one or more rules.
Besides pre-configured out-of-the-box rules, RiskMinder’s field-programmable custom rules capability allows for industry-specific rules to be selectively deployed and augmented based on your requirements.
See "Understanding RiskMinder Basics" in the CA RiskMinder Installation and Deployment Guide to understand the basic concepts of RiskMinder and its architecture.
This section introduces you to the Java APIs provided by RiskMinder. It covers the following topics:
Note: CA RiskMinder still contains the terms Arcot and RiskFort in some of its code objects and other artifacts. Therefore, you will find occurrences of Arcot and RiskFort in all CA RiskMinder documentation. In addition, some of the topics in this guide do not follow the standard formatting guidelines. These inconsistencies will be fixed in a future release.
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