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FICO Falcon Fraud Manager

Name: FICO Falcon Fraud Manager
Rating: 4.5 (2 reviews)

By FICO

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Highlights : About FICO Falcon Fraud Manager

Merchant profiling

Check fraud modeling

Debit PIN profiling

eCommerce fraud profiling

Outlier models

First-party fraud modeling

About FICO Falcon Fraud Manager

FICO Falcon Fraud Manager, part of the FICO Falcon platform, is a financial fraud detection tool that uses real-time self-calibration and adaptive analytics to predict likely fraud patterns and detect potentially fraudulent transactions. The system can be used to detect fraudulent debit and credit card transactions, eCommerce fraud, check fraud, retail card fraud, identity fraud, and merchant fraud. FICO Falcon Fraud Manager uses behavioral analytics and transaction analysis to identify fraudulent transactions. A picture of consumers’ likely behaviour is built using behavior sorted lists, allowing transactions to be checked against this to determine whether they are abnormal. Unusual payments are examined against other transactions in outlier models, designed to reduce the flagging of false positives by using other outlier payments to provide context.

Specifications

Business Size

Small, Mid-Market, Enterprise

Deployments

Cloud

Language Support

English

Platforms

Product Details

Features

First-party fraud modeling

Debit card network device profiling

Global risk identification

Behavior-sorted lists

Adaptive analytics

Real-time transaction analysis

Retail card fraud detection

Fraud predictor

Behavioral analytics

Individual customer behavior profiles

Neural network models

Self-calibration

Debit card profiling

Check fraud modeling

Merchant profiling

Benefits

Outlier models analyze unusual payments in the context of other atypical transactions, with the aim of reducing false positives.

Global intelligent profiles identify the riskiest regions, merchants, and ATMs, so extra scrutiny can be employed in the areas of greatest risk.

Behaviour sorted lists build a more complete picture of a consumer’s likely behaviour, designed to improve the identification of suspicious transactions.

The system self-calibrates in real time in response to shifts in transaction trends, and adaptive analytics enable the adjustment of models as fraud patterns change.

Fraud predictor updates models each week with merchant statistics, to assist with recognition of likely fraud.

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