In response to the escalating threat posed by
fraudsters leveraging technology, Mastercard unveils its innovative employment
of generative AI techniques aimed at fortifying protections for consumers and
the global payments network.
Mastercard’s Decision Intelligence (DI), renowned
for its real-time decision-making capabilities, already facilitates the secure
approval of an astounding 143 billion transactions annually. With the
integration of new generative AI technology, Mastercard aims to scrutinize an
unprecedented one trillion data points to ascertain the authenticity of
transactions, thereby augmenting its existing capacity to analyze account,
purchase, merchant, and device information instantaneously.
Ajay Bhalla, the President of Cyber and
Intelligence at Mastercard,
underscores the transformative potential of generative AI in bolstering the
speed and accuracy of anti-fraud solutions. By augmenting Mastercard’s
algorithmic capabilities, Bhalla asserts that the company is actively thwarting
criminal endeavors, safeguarding banks, and fortifying consumer trust in every
transactional interaction.
Enhancing Financial Security: Fortification of
Decision Intelligence
The latest iteration of this technology, launched
Decision Intelligence Pro, operates by evaluating the interconnections among
various entities linked to a transaction to assess its risk profile. Within a
remarkable timeframe of less than 50 milliseconds, Decision Intelligence Pro
enhances the overall DI score, refining the data furnished to banks. Initial
simulations suggest that the incorporation of AI enhancements elevates fraud
detection rates by an average of 20%, with peak improvements reaching an
astounding 300% in select cases.
The fortification of Decision Intelligence is
poised to significantly enhance banks’ capacity to shield cardholders from
fraudulent activities while mitigating the incidence of false
positives—legitimate transactions erroneously flagged as fraudulent. “The
precision of the solution – achieved by scanning potential points of sale in
real time – has been shown in our own analysis to not only increase accuracy,
but also reduce the number of false positives by more than 85%,” said Bhalla.
In response to the escalating threat posed by
fraudsters leveraging technology, Mastercard unveils its innovative employment
of generative AI techniques aimed at fortifying protections for consumers and
the global payments network.
Mastercard’s Decision Intelligence (DI), renowned
for its real-time decision-making capabilities, already facilitates the secure
approval of an astounding 143 billion transactions annually. With the
integration of new generative AI technology, Mastercard aims to scrutinize an
unprecedented one trillion data points to ascertain the authenticity of
transactions, thereby augmenting its existing capacity to analyze account,
purchase, merchant, and device information instantaneously.
Ajay Bhalla, the President of Cyber and
Intelligence at Mastercard,
underscores the transformative potential of generative AI in bolstering the
speed and accuracy of anti-fraud solutions. By augmenting Mastercard’s
algorithmic capabilities, Bhalla asserts that the company is actively thwarting
criminal endeavors, safeguarding banks, and fortifying consumer trust in every
transactional interaction.
Enhancing Financial Security: Fortification of
Decision Intelligence
The latest iteration of this technology, launched
Decision Intelligence Pro, operates by evaluating the interconnections among
various entities linked to a transaction to assess its risk profile. Within a
remarkable timeframe of less than 50 milliseconds, Decision Intelligence Pro
enhances the overall DI score, refining the data furnished to banks. Initial
simulations suggest that the incorporation of AI enhancements elevates fraud
detection rates by an average of 20%, with peak improvements reaching an
astounding 300% in select cases.
The fortification of Decision Intelligence is
poised to significantly enhance banks’ capacity to shield cardholders from
fraudulent activities while mitigating the incidence of false
positives—legitimate transactions erroneously flagged as fraudulent. “The
precision of the solution – achieved by scanning potential points of sale in
real time – has been shown in our own analysis to not only increase accuracy,
but also reduce the number of false positives by more than 85%,” said Bhalla.
