eStar Risk Management

What is online fraud?

Online fraud is closer to home than you think

Many believe that online fraud is all about stolen credit cards and ordering thousands of dollars' worth of goods to far away countries. In reality, the data proves that online fraud usually originates from legitimate but dishonest buyers in the retailer’s local market.

The most common form of fraud is called "friendly fraud", where a buyer contacts their bank to dispute transactions. While "accidental friendly fraud" may occur when the customer does not realise what the charge was for, deliberate friendly fraud cases are responsible for over 60% of all claims. Buyer identity fraud from lost and stolen credit card information is much less common.

eStar risk profiling and management

Comprehensive and automated solution

• Built-in to the eStar eCommerce platform
• Sophisticated risk modelling built from over 18 years of eCommerce orders and transactions
• Order vetting across metrics using heuristic and algorithmic analysis to establish a quantitative measure of risk
• Configurable metrics to match business requirements and industry ordering profiles
• Automated processing based on nominated threshold limits, with exceptions expertly handled by a site administrator or your customer representatives based on the information provided by the solution

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Key profiling elements

Behavioural criteria evaluation

Retailers need to look beyond the obvious - blacklisted credit card numbers, email addresses, postal addresses, and even telephone and mobile numbers associated with fraudulent transactions - and look into the behavioural aspect of fraud.

eStar risk management evaluates orders against metrics related to the following:

• Email validation
• Card validation, including Issuer and billing country checks
• Discrepancies check against expected order ($) value and (number of) items
• ISP identification and IP address validation
• Order velocity monitoring
• Customer history and trust
• Behavioural and data pattern analysis
• A common fraud model

Dynamic Customer Trust Spectrum

Increasing fraud detection accuracy

DCTS™ is a ground-breaking new feature of RMProfiler for governing risk management workloads. Based on the concept of customer trust, DCTS™ places customers on a continuous, parametric, and constantly evolving spectrum of trust, from which your fraud management team can make decisions. Your customers will be rated based on the parameters most important to your company, so the DCTS™ is uniquely yours.

Features of DCTS™ include:

• Customer trust Distribution Visualisation: allows for intuitive understanding of workloads and an active, dynamic view of customer trust
• Tuneable thresholds: modes and parameters allow complete control and instantaneous management of workloads
• Application-specific Artificial Intelligence: a virtual member of the fraud management team, saving time by continuously analysing and recommending optimum targets and values
• Automated AI Analysis: can be instructed to "take charge" to optimise and increase accuracy, eliminate bias, and drastically reduce false positives

DCTS™ is a technical tour-de-force, demonstrating capabilities of next generation fraud management tools. DCTS™ will empower your fraud management teams to take charge of their workloads to provide measurable and continuous improvements to your business.

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