“Upgrading risk software has always meant disruption and for firms managing risk in real-time, that’s a trade-off they can’t afford,” FIS said in a news release Tuesday (May 19). “This deployment on AWS reduces this by delivering a cloud-native risk management platform that keeps financial institutions on the latest version of the software, continuously and without operational disruption.”
According to the release, the platform’s “microservice-based, cloud-native architecture” lets clients scale their risk architecture in the cloud and run “higher volumes of calculations with lossless performance.” With burst computing, clients can instantly gain additional processing power for large calculations or peak workloads, with no need for costly on-site hardware.
The release noted that the launch is happening as financial institutions face increasing pressure to track a growing range of risks.
However, upgrading to a new software version has historically required firms to “choose between staying current and staying operational.” Andrés Choussy, president of the capital markets at FIS, said moving to AWS means the end of this trade-off.
“Our clients can now run the latest, most powerful version of Enterprise Risk Suite at all times, while scaling their risk infrastructure dynamically to meet whatever the market demands,” he added. “This modern framework combined with comprehensive risk coverage enables smarter, faster and more capital-efficient risk management decisions that drive revenue growth.”
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PYMNTS Intelligence collaborated with FIS recently on the report “Where Payment Decisions Happen: How Issuer Data Is Powering the Next Era of Commerce.”
That report charts an evolution in issuer processing, from what had been a “back-end utility” into a “decisioning layer” that shapes how payments are approved, optimized and secured in real time.
“Commerce itself is becoming more automated, personalized and AI-driven, especially as agentic commerce models emerge,” PYMNTS wrote.
The report’s core finding is that not all data are equal. Historical transaction records alone are not enough in modern payments environments where AI systems increasingly initiate or guide transactions. This is pushing issuers and processors to aggregate behavioral, contextual and real-time operational data that can enhance authorization decisions, reduce fraud and minimize friction at checkout.
Traditional issuer processing systems were designed primarily for execution reliability and speed, the report argues.
However, the report added, “those rules-based systems struggle in environments where transactions are increasingly shaped by contextual signals, consumer behavior and AI-enabled commerce flows.”
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