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Fake user accounts continue to plague social platforms, largely because most existing fraud solutions are reactive, slow to adapt, and only treat the symptoms of fraud without addressing the cause.
The root problem is massive-scale attacks that are coordinated, sophisticated, and automated, and which are being committed by technologically advanced fraudsters adept at eluding legacy detection systems. Fake accounts are simply weapons used in these attacks.
By combining advanced unsupervised machine learning algorithms, advanced contextual detection strategies, and holistic data analysis, dCube offers a comprehensive solution.
Watch the webinar recording to learn how you can use dCube to:
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.