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Insights and Expertise




                                Getting it                      I know how they move the money

                                                                Herein lies the issue. Acquirers and merchants need
                                right every                     data from issuers to hone their transaction monitoring,
                                                                and issuers need transactional data to ferret out money
                                time                            laundering. That’s why even though we are in an arms
                                                                race and Visa and Mastercard have the largest war chest,
                                                                they will need to continue to buy companies and solutions.
        By Ken Musante                                          Individually, companies will not be able to keep up.
        Napa Payments and Consulting                            Fraudsters and their schemes are too dynamic and the
                                                                datasets too large. Even the largest companies will have
                  I is fantastic! The use cases are endless, and   competing road maps that will prevent them from staying
                  therein lies the problem. Fraudsters appreciate   at the fore.
                  the ease it allows them to infect the internet
        A and steal data. Cybercriminals are able to mul-       Visa and Mastercard understand this and will continually
        tiply their subterfuge exponentially. Every week, there's a   buy  tools  to  avail  to  their  clients.  Like  most  card  brand
        new way to falsify documents or create a fake back story.   solutions, however, they will be good but watered down
                                                                and blind to corner cases. I expect the next and greatest
        Consequently, the good guys need to up their arsenal,   to emanate from smaller companies, building on existing
        fortify every transaction and identify the bad actors and   infrastructure.
        threats—all in real time while minimizing false positives.
        Banks and processors must upgrade outdated technol-     Outsmarting the fraudsters
        ogy with AI-driven solutions built on modern technology
        stacks.                                                 Some former associates from my WePay days started
                                                                Coris, a risk scoring and fraud platform designed to assist
        We need not look far for justification. This year alone, ma-  fintechs  and  payfacs  evaluate  and  monitor  merchants.
        jor data breaches occurred at AT&T, Ticketmaster, Change   While Coris is a fraction of the size of Visa and Mastercard,
        Healthcare and, ironically, at online background check   it is the type of firm that will engineer the solution. It
        and fraud prevention service National Public Data.      will do this by utilizing the anonymized data from both
                                                                publicly available databases and proprietary data sources.
        We are dealing with science here                        The Coris team will know the data better because they
                                                                were operators.   They  will build AI  driven  models to
        AI’s ability to train and learn has helped reduce false posi-  surpass the fraudsters.
        tives while throttling the onslaught of fraud attacks. Visa
        and Mastercard are in an arms race with fraudsters, and   Other competitors like Middesk, Signifyd, Sardine,
        they  have  the  war  chest  to  fund  it.  Both  card  networks   Agreement Express and BankIQ have developed their
        made recent acquisitions in the space. Visa stated it will   own solutions. Each will pursue a solution set and strive to
        acquire Featurespace, a developer of real-time artificial in-  increase the value of their dataset and efficiently serve it to
        telligence payments protection technology that prevents   their clients. When I was a child, my grandfather stopped
        and mitigates payments fraud and AML risks. Visa ex-    a purse snatcher in San Francisco. He yelled, "Freeze or I’ll
        pects the acquisition will complement and strengthen its   blow your brains out!’" He didn’t have a gun, but his bluff
        portfolio of fraud detection and risk-scoring solutions.    was successful in subduing the perpetrator.

        Mastercard, in turn, expanded its cybersecurity services   Unfortunately, we are past the days when perpetrators
        with an agreement to acquire Recorded Future. Recorded   run  away  from  the  crime  scene.  Today  they  disguise
        Future provides real-time visibility into potential threats   themselves to look like every other customer, and we are
        by analyzing multiple data sources. The acquisition ex-  reliant on multiple data points from a multitude of data
        pands Mastercard’s existing collaboration with Recorded   sets, trained by risk operators to thwart fraud while not
        Future on an artificial intelligence service that alerts banks   inconveniencing the rest of us.
        when a credit or debit card has likely been compromised.

        The card networks need to solve both the merchant-side   As founder of Humboldt Merchant Services, co-founder of Eureka
        payment transaction fraud and issuer-side account take-  Payments, and a former executive for such payments innovators as
        over and fraudulent application. They both must also    WePay, a division of JPMorgan Chase, Ken Musante has experience in
        eliminate money laundering through transaction moni-    all aspects of successful ISO building. He currently provides consulting
        toring. Ideally, the data will be harnessed from one side   services and expert witness testimony as founder of Napa Payments
        to train the models on the other. A risk based, machine   and Consulting, www.napapaymentsandconsulting.com. Contact him
        learning rules engine is only as good as the data the model   at  kenm@napapaymentsandconsulting.com, 707-601-7656 or  www.
        is digesting.                                           linkedin.com/in/ken-musante-us.

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