Online fraud is constantly evolving to bypass the established strategies for detecting it. While rules are effective for finding known fraud schemes, behavioral analytics and machine learning bring increased visibility to detect suspicious activity and prevent fraud in real time.
Machine learning uses behavioral analytics to prompt action when suspicious activity is observed. Paired with a dynamic and flexible rules system, it covers both known fraud schemes and never-before-seen threats.
Put your consumer behavioral analytics and risk data to work by laying authentication on top of your existing infrastructure. Or combine with Appgate’s authentication offering to deploy a complete Risk-Based Authentication solution.
Unify and simplify the investigation process. Transactional case management capabilities allow you to efficiently handle all information related to alerts and cases from within the solution. Providing thorough reporting and analytics to help you stop attacks before financial losses occur.
Learn how Transaction Monitoring helps you simplify your overall approach to fraud management while improving customer experience.
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Fraud is in a state of constant evolution and defensive tactics must evolve along with them. Our Fraud Beat provides insights into the current threat landscape, helping organizations understand which areas are most important when implementing a strong anti-fraud strategy.
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In conjunction with Information Security Media Group (ISMG), Appgate surveyed 120 financial institution security professionals regarding their organizations' fraud challenges, gaps and future strategies.
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