Cyentia Cybersecurity Research Library
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DataVisor

Below you will find reports with the source of “DataVisor”

image from Q2 2018 DataVisor Fraud Index Report

Q2 2018 DataVisor Fraud Index Report

The DataVisor Fraud Index Report Q2 2018 is based on attacks that were detected by the DataVisor UML Engine from April through June 2018 with additional recent attack trend data. This report provides unprecedented insights into the evolving attack trends and characteristics of fraud attacks across a number of industries including social platform, e-commerce, financial services, and mobile gaming.

(more available)
Added: February 5, 2019
image from Q1 2018 Datavisor Fraud Index Report

Q1 2018 Datavisor Fraud Index Report

The DataVisor Fraud Index Report: Q1 2018 is based on attacks that were detected by the DataVisor UML Engine from January through March of 2018, analyzing 40 billion events and 680 million user accounts. This report provides unprecedented insights into the attack techniques that bad actors use to engage in malicious activities and evade detection.

(more available)
Added: February 5, 2019
image from Q3 2018 DataVisor Fraud Index Report: Unraveling The Matrix Of Fraud

Q3 2018 DataVisor Fraud Index Report: Unraveling The Matrix Of Fraud

The Q3 2018 Fraud Index Report, produced by the DataVisor Research Team, analyzes recent fraud attacks impacting consumers and organizations for the period July - September 2018.

(more available)
Added: February 5, 2019
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Library updated: July 9, 2025 00:09 UTC (build b1d7be4)