With the growing use of mobile commerce, reliable and accurate device recognition is key to prevent both fraud and false positives.
Instead of a multi-component machine learning solution, an open-source solution can be a great alternative, offering companies a higher degree of customization at a much lower cost.
Microsoft provides an overview of their Risk Escalations Team, with insights on how they have created a tight feedback loop with investigators and partnered with Customer Support.
Under the Hood of ATO: A Practical Field Guide to Combatting the Big Business of Account Takeover and New Account Fraud
Take an in-depth look at two rapidly growing types of online fraud, account takeovers and new account fraud, and learn how identifying and understanding user interaction patterns are key to combatting them.
Gain insights into the limitations of device fingerprints as a fraud prevention mechanism and learn why additional linkage data is needed to ensure detection of complex fraud patterns.
Learn how new technologies and advanced detection techniques are making device fingerprinting more effective at fighting fraud online in this presentation from Simility.