Sift, the leader in Digital Trust & Safety, announced its inclusion in the newest Market Guide for Online Fraud Detection by Gartner. The Gartner report outlines the state of the market for online fraud detection and provides strategic guidance for SRM (security and risk management) professionals exploring available vendors and technologies.
The report, written by VP Analyst Akif Khan and Sr. Director Analyst Dan Ayoub, advises that “it is imperative that an OFD [Online Fraud Detection] platform can learn and improve from confirmed loss events within specific geographies (ideally across borders and globally), not just within a single organization. This requires the platform to have the ability to share anonymized telemetry about users, devices, and event outcomes (particularly confirmed frauds) across an entire network and for all customers. Systems, policies and algorithms can then be updated in real time to defend against evolving threats.”
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Sift’s Digital Trust & Safety Platform is predicated on leveraging its global network of over 34,000 sites and apps and uses its machine learning models to evaluate over 70 billion events and analyze millions of global fraud decisions every month. By applying the full power of Sift’s network and both its global and customized machine learning models, customers are able to execute a true Digital Trust & Safety strategy—one that protects against fraud while reducing friction for legitimate users.
“Gartner recommends that SRM leaders favor vendors with SaaS deployment models that share real-time threat intelligence across their networks—and we couldn’t agree more,” said Sift SVP of Product, Mary Writz. “We have seen that Sift customers who leverage these capabilities see dramatic decreases in fraud losses and time spent manually reviewing cases, and unlock growth.”
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