DataVisor Research Reveals Critical Importance of Contextual Detection for Preventing Sophisticated Fraud Attacks and Delivering Frictionless Customer Experiences

▤ Summary

Drawing on proprietary analysis of over 44 billion events across 800 million active user accounts globally, the report highlights the rapidly increasing complexity of emerging attacks and the dire need for contextual detection strategies to proactively defeat fraud before damage occurs. The report delivers in-depth detail on the increasing degrees of coordination behind such attacks, specifically noting that the financial services sector is bearing the brunt of rapidly scaling fraud. As fraudsters continue to use multiple tools to try and obscure their efforts and blend their fraudulent accounts with legitimate ones, their need for comprehensive fraud management at big data scale increases. Through detailed analysis of specific attack examples, the report delivers concrete guidance on how to extract intelligence from data to improve digital security and thwart even the most sophisticated fraudsters. Using proprietary unsupervised 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.

▦ Linked Companies

DataVisor

$1M to $5M