With exponential growth in online transactions, detecting and mitigating fraud is now more complex than ever before. Built to handle AI and machine learning workloads, tools to power real-time statistical analysis, and provide consistently high write throughput at low latency, Redis Enterprise is the answer to faster and more accurate fraudulent transaction detection.
Today’s digital and mobile payments platforms are much more complex and distributed. They present many more software vulnerabilities and operate with a level of interconnectedness that traditional fraud detection techniques weren’t originally designed to address.
Thanks to modern software platforms, transactions are executed nearly instantly, but the same processing speed that creates a great customer experience leaves banks and payment processors with less time for prevention and identification of fraud.
Personal information traditionally verified with physical documents is now stored online—easily accessible enough for a single big data breach to put millions at risk of identity theft, account takeovers, and the creation of fake identities.
Companies lose tens of billions of dollars to fraud attacks each year in the form of fines, settlements, and erosion of the trust and customer loyalty that underpins the financial services industry. The increased complexity, volume, and speed of today’s online transactions means your organization will need more advanced fraud detection systems to keep up with malicious fraudsters.
Serve deep learning models directly where your historical data lives in Redis Enterprise for dramatically increased performance, enabling faster and more accurate fraud prevention and analysis.
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