Future of Fintech: How UML Can Enable Proactive Fraud Prevention

A special Future of Fintech report from The Sunday Times asks the question, “Can AI eliminate the threat of cyberfraud completely?” DataVisor CEO Yinglian Xie, quoted in the report, explains the importance of proactive UML-powered detection, noting that “you must be able to identify incubating accounts, recognize what they’re being primed for, and neutralize them before they can be harnessed for use in a major coordinated attack.”

Get the Future of Fintech report today to discover:

  • How Artificial intelligence is being deployed to not only detect cyberfraud, but prevent it.
  • Why the true goal of any fraud management strategy isn’t actually detection, but prevention.
  • How UML can enable a shift to proactive fraud prevention.
About DataVisor

DataVisor is the leading fraud and risk management platform powered by transformational AI technology. Using proprietary machine learning algorithms, DataVisor restores trust in digital commerce by enabling organizations to proactively detect and act on fast-evolving fraud patterns, and prevent future attacks before they happen. Combining advanced analytics and an intelligence network of more than 4B global user accounts, DataVisor protects against financial losses and reputational damage across a variety of industries, including financial services, insurance, marketplaces, ecommerce, and internet platforms.