Fraudsters are constantly finding ways to commit fraud through the mobile channel. This post highlights the techniques and methods they use.
DataVisor's CEO Yinglian discusses the biggest trends in digital fraud from 2018 and makes predictions for what 2019 will bring.
DataVisor research insights on the rising wave of sophisticated fraud, proactive ways for fraud prevention and role of unsupervised machine learning
The holiday season provides fraudsters a perfect ground to attack. DataVisor’s Unsupervised Machine Learning can help buyers & sellers in marketplace.
This post provides a few details about synthetic identity fraud and S.B. 2155, including what businesses should expect when it comes to the rollout of the law.
Application fraud is sophisticated and legacy systems are unable to combat it. DataVisor’s Unsupervised Machine Learning identifies hidden attack patterns.
The fraud landscape within the mobile user acquisition space is very complex with many sophisticated attack techniques involved. In this blog post, we will cover the tools and techniques used by fraudsters and why it's difficult to detect them.
Evolving money laundering patterns are leading to huge fines and mounting pressure on FIs to become more vigilant. Learn how unsupervised machine learning and its inherent merits can help FIs to uncover hidden money laundering patterns and improve AML detection.