Navigation
Navigating to "Fraud Detection" in NICE Actimize involves understanding which specific module you want to interact with, as Actimize has different components for different parts of the fraud management lifecycle.
Here's how you'd typically navigate, depending on your role and what you want to do:
1. For Configuring Fraud Detection Logic (Rules, Scenarios, Models)
- Module: NICE Actimize Policy Manager (specifically for the IFM - Integrated Fraud Management solution).
- Navigation Steps:
- Log in to Policy Manager: You'll typically access Policy Manager via a web browser using a specific URL provided by your organization (e.g.,
https://[your_actimize_server]/policymanager
). - Authenticate: Enter your username and password.
- Select the Solution/Policy Group: Once logged in, Policy Manager often presents a dashboard or a navigation pane. You'll need to select the relevant solution or policy group, which would be IFM (Integrated Fraud Management).
- Navigate to "Rule Management" or "Scenario Management":
- To view or create individual fraud rules, you'd go to the "Rule Management" section.
- To view or create fraud scenarios (which combine rules to detect specific fraud types), you'd go to the "Scenario Management" section.
- Filter/Search: Use the search and filter options to find specific rules or scenarios related to the type of fraud you're interested in (e.g., "Account Takeover," "Payment Fraud," "New Account Fraud").
- Log in to Policy Manager: You'll typically access Policy Manager via a web browser using a specific URL provided by your organization (e.g.,
2. For Investigating Fraud Alerts/Cases
- Module: NICE Actimize RCM (Risk Case Manager) or the newer, integrated ActOne.
- Navigation Steps:
- Log in to RCM/ActOne: Access it via a web browser (e.g.,
https://[your_actimize_server]/rcm
orhttps://[your_actimize_server]/actone
). - Authenticate: Enter your username and password.
- Access "Work Items" or "Cases":
- Upon logging in, you'll typically land on a dashboard showing your assigned "Work Items" (individual alerts) or "Cases" (groups of related alerts).
- You might have different queues or tabs based on fraud type, severity, or status (e.g., "New Fraud Alerts," "Payment Fraud Cases," "Under Investigation").
- Filter/Search: Use the powerful search and filtering capabilities to find:
- Alerts from specific fraud scenarios (e.g., "High_Volume_Transaction_Alert").
- Alerts related to specific customers or accounts.
- Cases related to specific fraud typologies.
- Drill Down: Click on an alert or case to open the investigation workbench, where you can view all related details, entities, transactions, and perform actions like escalating, dispositioning, or writing SAR narratives.
- Log in to RCM/ActOne: Access it via a web browser (e.g.,
3. For Data Analysis and Profile Management Supporting Fraud Detection
- Module: NICE Actimize Visual Modeler (part of AIS - Actimize Information System).
- Navigation Steps:
- Launch Visual Modeler: This is typically a desktop application that connects to the AIS server, or it might be accessed via a web-based client depending on your Actimize version.
- Connect to the AIS Environment: Specify the server and authentication details.
- Open AIS Flows: You'll navigate to the "Flows" section. These flows are responsible for:
- Ingesting raw transaction data.
- Mapping it to the Universal Data Model (UDM).
- Calculating and updating customer/account/card behavioral profiles that are then used by the IFM fraud detection rules.
- Review Profile Definitions: Look at how profiles (e.g., daily transaction counts, average spend) are defined and updated, as these are critical for behavioral fraud detection.
In Summary:
To "navigate to Fraud detection," you need to consider your purpose:
- To configure how fraud is detected: Use Policy Manager (IFM context).
- To investigate detected fraud: Use RCM / ActOne.
- To manage the data pipeline that feeds fraud detection: Use Visual Modeler (AIS).
Each of these is a distinct application or primary module within the broader NICE Actimize suite.