risknet® real-time · agnostic real-time transaction and merchant monitoring solution is required....
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RiskNet® Real-Time
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The Business Challenge
The challenges faced by Card Issuers, Card Acquirers, ISO’s and merchants to mitigate
inherent risks in payment solutions are significant. With the advent of online
authorisation, 3D secure, chip and pin and other card scheme initiatives, fraud
exposure associated with fraud types such as lost and stolen, skimming and
counterfeit have been reduced but have not been eradicated. The fraudster has
adapted and continually searches for alternative ways to commit fraud and find the
weakest link. With the advent of new payment channels and payment types and the
continual growth in online real-time, card not present transactions drive the need for
a real-time, omni-channel fraud solution.
The principal fraud challenges are now more associated with:
Account takeover
Lost in transit
ATM Skimming
Data compromise
Card not present
Cross border
Merchant fraud
And perhaps the softer fraud issues being experienced with merchants and mPOS
users:
Discount and voucher fraud
Sweet hearting
Refund fraud
Collusion
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The sophistication of the fraudster and the constantly changing patterns of fraud and
the associated approach/method dictate that now more than ever, to achieve an
effective risk management strategy, a sophisticated omni-channel card/payment type
agnostic real-time transaction and merchant monitoring solution is required.
Protection of the consumer is critical and today, no financial institution, ISO, gateway
or merchant can effectively operate without a risk solution that delivers high
performance business critical information to assist with payment analysis and fraud
control. It is essential to consolidate all payment data, regardless of channel or type,
into one system that feeds reporting, alerting and analysis to be effective in preventing
losses. With the advent of additional payment types and methods through a variety of
channels it is becoming more important to be able to view across an entire account so
that inter relationships and patterns can be effectively monitored and suspicious
activity regardless of payment transaction source can be alerted.
As important as protecting the consumer is, maintaining high customer service levels
and acceptance rates is also paramount. It is imperative that any risk solution deployed
by any business accepting payments must minimize consumer insult rates
(false/positive alerts) and maximize transaction acceptance rates - these are two key
KPI’s for any fraud detection system.
Typical fraud KPI’s for a payment accepting business could be:
Fraud Transactions – Value and amount
Detection rate
Fraud rate as a percentage of turnover
Alert level
Alert turnaround time
False positive ratio
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Response rates
Service uptime and availability
Recognising these challenges, ai developed RiskNet® real-time, with its high
performance processing platform, statistical calculations, flexible rule engine and alert
system provides the business solution for businesses accepting payments, to manage
its risk.
RiskNet® real-time is available as a licensed solution deployed within a client’s own IT
environment or software as a service – SaaS, utilising ai’s Commercial Cloud (ACC).
RiskNet® real-time can operate independently or compliment near real time fraud
solutions such as RiskNet® Issuer and RiskNet® Acquirer.
The key attributes of RiskNet® real-time being:
Card scheme and payment type agnostic – Removes the need for multiple card scheme online services
Omni channel – Provides transaction screening regardless of source
Licenced or cloud based solution
Card anchored rules and merchant (MID) anchored rules
Card scheme rule compliant (as required in real-time)
Self-service – Write your own rules
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The Solution
RiskNet® real-time provides the ability to directly influence whether authorisation
requests received, when cards are used to purchase goods or services in real-time, are
approved or not.
It can operate independently as a real-time only rules engine or to complement near
real-time rules engine such as RiskNet® Issuer or RiskNet® Acquirer, providing a multi-
layered fraud strategy.
The solution can be deployed at any point throughout the payment chain, be it direct
to the merchant, payment gateway or financial institution payment switch.
Diagram
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RiskNet® real-time is a system built to handle the need for a real-time accept or decline
decision to be made as part of the authorisation process, without affecting the
authorisation response time.
RiskNet® real-time is browser based and can be provided as a licensed production
solution or as cloud based SaaS. The SaaS service can also include a fully managed
service whereby ai’s expert fraud analysts review alerts on behalf of the Client.
RiskNet® real-time minimises the risk for fraud to be experienced whilst maximising
the revenue opportunity.
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Transaction Flow
Transactions are presented to the RiskNet® real-time rules engine and processed
against the active rule set.
NEW IMAGE
In the event that no rules are broken and automatic accept response is returned and
the transaction can be processed as normal.
When rules are broken an alert is generated and either an accept, decline response or
challenge to issuer response is automatically returned.
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Responses are typically returned in less than 300mS.
Note: when used as a real time rule manager only – only accept or decline responses
are available.
When alerts have been generated, these are allocated to a central queue for
investigation. The priority of an alert is the sum of the individual priority values of all
the broken rules associated to a transaction. Rule priorities can be increased or
decreased depending on their perceived importance.
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Investigation
Investigations are conducted using review screens, these provide all the information
and tools necessary to enable a fraud analyst to make an informed decision as to
whether a transaction or an authorisation is potentially fraudulent.
“One Stop Shop” review screens
The RiskNet® real-time browser based user interface has been designed by fraud
experts and users, it delivers maximum information in a concise readable format. The
screens are easy to understand, enabling new fraud analysts to quickly reach
maximum efficiency.
Rather than simply giving a priority score, a RiskNet® real-time generated alert is
accompanied by all the supporting data that indicates why the alert was created. This
enables fraud analysts to understand precisely how the alert was scored, so that they
are able to take the appropriate action.
RiskNet’s® real-time comprehensive user screens provide extensive information that
may be used for investigation, case management, reporting or strategizing.
Some of the features in the main investigation screen are summarised below:
Actions can be recorded against an account, examples include referring AML Team,
and the ability to place the card on to a Hot File. The list of available actions can be
configured to meet specific requirements.
Comments about authorisations being examined can be added. The system provides
many other features including violation history and a journal.
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Dynamic rule creation and administration
RiskNet® real-time offers a rule generator that allows the creation of user defined
rules. It provides a simple point-and-click interface that allows static, derived or
transactional information to be used in the creation of simple or complex multi-clause
rules.
The speed, flexibility and ease in which new rules can be created and applied in real-
time, using a point and click Wizard, enables customers to react rapidly to new fraud
trends and intervene in fraud cases as they develop. The diagram on the next page
shows the main steps in setting up new rules:
Diagram 7: RiskNet® real-time alert screen
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Rule Description - details including the rule ID, description and priority.
Rule Scope - defines whether the rule considers authorisations or statistical data that is automatically calculated from the data feeds.
Data Filters - allows the rule to consider only authorisations that meet specified criteria including values, percentages of related field data and lists.
Alert Criteria - allows further conditions to be applied. A rule break will only be generated if both the data filters and alert criteria are met.
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Rules can be defined based on the authorisation data input that can be used to detect
fraud in card-not present environments. Additional data fields include:
Email address
The IP address from which the transaction originated
Postal code of customer conducting the transaction
Billing country
Product type
Device ID
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RiskNet® real-time features a powerful statistics engine that can be used for
performing calculations on any data that is available to it.
Diagram 8: Rule set up screens
Diagram 9: Statistic set up screen
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External services, such as IP address lookup/location confirmation and device
fingerprinting can be inputted into RiskNet® real-time to be processed. The following
is a summary of the capabilities of the RiskNet® real-time solution:
Continually monitor merchant portfolio for fraud including collusion, bust out
and ghost terminals.
Block suspicious or unusual transactions.
Monitor cross-boarder and multi-currency.
Statistical analysis at merchant enabling thorough on-going risk monitoring
and analysis.
Immediate block of country, BIN range or individual cards in adverse
situations.
Potential to update rules automatically using neural techniques – thus
improving efficiency and accuracy.
Continual monitoring will significantly reduce chargebacks as well as
associated scheme penalties and fees.
Alert override
Improved and comprehensive monitoring to enable business expansion into
new territories and take on new, higher risk business lines.
Flexible architecture giving greater scalability
RiskNet® real-time is designed to respond to an individual request in less than 0.5
seconds with an average response time target of 250 milliseconds. The system is
deemed ‘business critical’, therefore it has been designed to operate 24 hours per day,
365 days per year, with the expectation of a minimum of 99.99% uptime over a year.
Scalability is supported through the ability to split the processing load either within a
single server to utilize all available resources or by spreading the load across multiple
servers. Configuration techniques included within process optimisations, e.g. thread
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counts targeting particular tasks and multi-process, e.g. creating dedicated processes
for specific portfolios and/or data types.
RiskNet® real-time is very rich in functionality and incorporates features that have
been requested by some of the world’s leading financial institutions. It continues to
be developed based upon a committed development roadmap that ensures
compliance to latest technologies, security and audit requirements e.g. PCI-DSS, new
payment methods, new channels, Client requests and ever changing fraud patterns.
RiskNet® real-time embodies a holistic approach to risk management by not just
dealing with fraud but also providing value-added functions that help our customers
to conduct their business more efficiently and profitably.
RiskNet® real-time is a real-time self-service, highly automated, sophisticated,
statistical rules engine solution which is available with or without neural model
support. RiskNet® real-time can support multiple neural models and multiple scores,
such that models can be deployed by card portfolio, by member, by region, by MCC or
as required, providing a significant benefit above other providers.
Greater accuracy
RiskNet® real-time eliminates time-consuming, cumbersome manual processes and
significantly reduces the time required to train fraud prevention staff. Errors and
mistakes are eliminated because consistent analysis is applied in an automated
manner throughout utilising a plain English rules wizard. Fraud prevention staff are
able to view and analyse all relevant transaction data faster, resulting in an increase in
the amount of fraud identified.
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Price performance
RiskNet® real-time provides unparalleled price performance and a rapid return on
investment. Being essentially a complete all-in-one solution using low cost hardware
with simple interface requirements means that RiskNet® can be installed and
operational within a few months with minimal demands on your internal IT resources.
Single application solution
RiskNet® real-time provides the tools and immediate access to all the data you need
through a single application. It streamlines payment fraud detection, providing
everything needed to detect suspicious card and account behaviour such as account
takeover, counterfeit and CNP fraud. It will also help you to reduce chargebacks,
reduce lost compliance cases, avoid card scheme penalties for excessive fraud and
improve efficiency.
Platform
RiskNet® real-time ties together all the disparate parts of the fraud-fighting process.
It has existing connectivity to numerous card management systems, core banking
systems and other supporting modules from ai, being:
SmartScore® - Self-service, high speed neural model builder and scoring engine
SmartRule™ High speed automatic rules generator
SmartIntelligence™ - Real-time BI dashboard and KPI reporting and analytics tool
SmartAlerts™ - Interactive cardholder alert communication
SmartCase™ - Enterprise case management
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Management reporting
RiskNet® real-time is fully integrated with SmartIntelligence™ providing real-time
business intelligence dashboard and KPI reporting with dynamic drill down to
transaction level.
Different image needed
Giving you control
RiskNet® real-time will put your fraud team in control so that they can react faster to
new fraud schemes. RiskNet® real-time provides information that can be used for
investigation, case management, rule generation, parameter changes, reporting or
strategizing.
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Scalability
RiskNet® real-time has been designed to scale from only a few hundred transactions
per day, to up to tens of millions per day. The system’s design enables each processor
to process about 25 transactions per second. Hence volume growth can be easily
accommodated by adding the requisite number of additional processors.
Excellent customer service
The ai Corporation (ai) has a team of seasoned fraud prevention experts that will work
hand-in-hand with you to offer fraud fighting guidance and help develop customized
strategies.
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Business Benefits
RiskNet® real-time is a system built to handle the need for a real time accept or decline
decision as part of the authorisation process without affecting the authorisation
response time.
The system dynamically evaluates a wide range of business statistics and provides
analysts with alerts, enabling them to identify cardholders, behaving out of the norm
and to take necessary additional security measures.
Key features include:
Statistic creation – the ability to dynamically generate your own aggregations of your
data and create groupings to implement within your rules.
Scheme agnostic rules – Visa, MasterCard, Amex, JCB and Diners recommended
monitoring rules can be deployed alongside one another removing the need for
managing multiple interfaces.
Self-service rule management – An easy to use, step-by-step approach to rule
building, coupled with a clear and easy to follow wizard allows for dynamic rule
management.
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Technical Overview
The RiskNet® real-time solution can be either packaged and easily delivered and
installed directly at a Client site or can be delivered as a service through the ai cloud
services division.
RiskNet® real-time is integrated into the SmartSuite of products that enables
enhanced features such as neural model scoring, rule modelling, information
intelligence and case management.
Solution deployment
The RiskNet® real-time platform is deployed across two components:
1) Application server – Made up of three key components:
a. RiskNet® controller
b. Rules engine
c. Data store
2) Database server
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RiskNet® real-time requires transactional data to be delivered to it from the
authorisation switch through an ISO 8583 interface.
The ISO 8583 interface supports over 200 user definable fields supporting card not
present as well as card present transaction data feeds.
Client interface
RiskNet® real-time’s web interface allows users to access all functions of the service
through a range of web browsers such as Internet Explorer, Chrome and Firefox.
Security
The RiskNet® 2016 solution complies with all PCI DSS and PA DSS requirements and as
such can be deployed into an organisation’s infrastructure quickly and easily.
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Additionally RiskNet® can be configured to manage user access and role based
permissions directly from the application with strong password policies or through an
integration with Active directory for user identification and authentication.
RiskNet® also provides full auditing capabilities required to monitor user and system
behaviour or if required can be integrated into auditing platforms.
Contingency and disaster recovery
As an Enterprise grade product, RiskNet® can be deployed to comply with the
contingency and redundancy requirements your organisation requires.
RiskNet® can be deployed as a single instance with cold or warm standby or can be
deployed in a fully active distributed configuration to allow for increased redundancy
and load balancing.
Software architecture
RiskNet® software is based upon Ruby on Rails, Java and SQL frameworks operating
against a Linux or Microsoft Windows platform and is implemented using a 3-tier
architecture and is primarily self-contained on a single server. All software, including
user interface is held on the central server and all processing is performed on that
server.
The system is intended to be self-maintaining in that the full life cycle of data is
supported – on a daily basis new data is loaded into the system and aged data is
removed. This includes database held data, data files and log files. Once the required
data retention periods have been reached, the disk usage and database size reach a
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relatively stable level which is maintained automatically by the RiskNet® housekeeping
processes.
Hardware
ai works with each Client to define the specification of the environment based upon
Volume of data to be processed daily
The retention period of processed data
Forecast growth in data volumes for next 3 years
The number of concurrent users to support
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Executive Summary
In today’s omni-channel global marketplace a ‘consumer self-service’ revolution is well
underway; together with the move to ‘instant mobile access’, it means that large
multinational organisations face a real dichotomy of needing to implement first class
front of house services, but are using ageing back-office systems. Added to that is a
plethora of new security and compliance requirements, as fraudsters and criminal
gangs become ever more sophisticated.
It is quite evident to most observers that large multinational institutions’ back-office
systems are under ever increasing strain. Financial organisations and large merchants
are taking a piecemeal approach to integrating creaking legacy systems with new
digital solutions. This amalgamation of real-time and batch applications, often creates
high cost human endeavour and complex processes that simply dilutes profit and adds
cost.
It is clear that agile, flexible and real-time tools and software are essential for future
success. ai has a long and exciting heritage as one of the world’s leading companies in
risk management. For 20 years, ai has provided solutions to some of the world’s largest
financial institutions, international merchants and other major payment service
providers across the globe
The RiskNet® rules engine has been developed by fraud experts. It is intuitive and fully
scalable with a valuable range of easily adaptable functionality options that can be
integrated into existing business processes. Modules of RiskNet® are offered to target
different requirements for both Issuers and Acquirers while maintaining the same core
fraud prevention technology.
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RiskNet® protects over 500 million consumer and commercial cardholders around the
world and has been designed for the prevention of fraud loss for credit, debit and
prepay for payment issuers.
The RiskNet® Rule Builder allows users to define their own fraud detection rules with
ease, using a unique point-and-click approach. Even the most complex rules are quick
to define. Static, derived or transactional fields can be rapidly selected to create simple
or complex multi-clause rules.
Rules can be defined based on the transaction data input that can be used to detect
fraud in card-not present environments and can be applied in real-time, enabling the
user to react rapidly to new fraud trends and intervene in fraud cases, as they develop.
All rules, once created, can be used at multiple levels using the novel Parameter
Change system – this feature allows one rule to be reused many times without having
to redefine it, saving time and making your rule base straightforward to maintain.
ai’s global customer base, enjoy outstanding products and services which are based
on making things simple for them – they are truly self-service and easy to use. This
means their customers can make decisions and implement them immediately, unlike
many of their competitors’ products.
Today, their self-service fraud detection rules engine is considered by many industry
thought leaders to be the best in the world. Their unique solutions, including ai’s new
state-of-the-art neural technology, protect and enrich payments experiences for more
than 100 banks, some of the largest merchants and processors. All ai’s solutions can
be supplied as hosted software, for in-house running, as licensed software, or as a
managed service.
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What Next
As well as ai’s extensive roadmap for the further enrichment and enhancement of the
RiskNet® solution, from both a technology and functionality standpoint, ai has seen
successful deployments of this reusable asset in areas such as marketing and/or credit
application management.
ai’s best of breed solutions are designed to help Clients grow profitably. As well as
optimise risk management, they are flexible enough to be applied to other business
processes that require detailed consumer insight for marketing or pricing.
ai have been actively involved in big data for many years, in order for them to provide
Clients with highly quality fraud screening, they need to process all the payment data
through our fraud tools. Ironically the systems are processing all the data in order to
get at what typically resides in 1% of the payment data.
Therefore there is an opportunity to exploit the other 99% of payment data. This is
where ai is taking a significant lead by developing the concept of re-usable technology
assets that have a multifunction capability.
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