Leverage the power of unsupervised machine learning to defeat fraud with speed and agility.
dCube is the complete AI-powered fraud management solution that enables the proactive defeat of emerging fraud.
Get detailed fraud signals in real time, and take proactive steps to defeat both known and unknown fraud.
This is part one of a three-part blog post series highlighting some of the key things to look for when it comes to choosing a third-party fraud prevention solution. In this post, we go over topics such as multi-layer protection, target use cases, global reach and data, etc.
Stop application and transaction fraud, account takeover, money laundering, and more.
Discover advanced strategies for managing the rapidly-evolving fraud attacks plaguing the modern banking sector.
Build and maintain trust by stopping fraud before reputational damage occurs.
Discover AI-powered fraud strategies for preventing financial and reputational damage in this powerful eBook.
Keep your platform safe and secure by purging spam and harmful posts.
DataVisor has partnered with Momo for more than two years to help them take on fraudulent account creations and compromised accounts.
Discover all the ways our clients are staying ahead of fraud by embracing AI-powered solutions that enable their organizations to know the unknown.
5 stories. 5 victories against fraud. See how organizations across industries are proactively defeating attacks.
Get experts insights on how to deploy cutting-edge fraud solutions to defeat even the most sophisticated modern attacks.
Delve deep into proprietary research to ensure your organization stays ahead of malicious threats.
Access proprietary data and research results to discover the latest attack techniques and prevention strategies.
Learn from leading experts in the fields of AI, machine learning, and fraud prevention as they provide rich insights on fraud trends and solutions.
Understand the range of modern fraud attacks to ensure complete coverage for your organization.
Evolving money laundering patterns are leading to huge fines and mounting pressure on FIs to become more vigilant.…
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.
Today's AML & Compliance leaders face dual challenges of increasingly sophisticated digital financial crimes and the…
Today's AML & Compliance leaders face dual challenges of increasingly sophisticated digital financial crimes and the threat of growing fines from regulators. Learn how AI and Machine Learning can help FIs detect more crime and better triage alerts.
As mentioned in my previous articles, traditional rule-based transaction monitoring systems (TMS) have architectural…
As mentioned in my previous articles, traditional rule-based transaction monitoring systems (TMS) have architectural limitations which make them prone to false positives and false negatives: Naive rules create a plague of false positives that are expensive for investigators to sift through…
False positives have a terrible reputation among anti-money laundering (AML) circles. As mentioned in my previous…
False positives have a terrible reputation among anti-money laundering (AML) circles. As mentioned in my previous article on ending the false positive alerts plague, approximately 90-95 percent of alerts generated by Transaction Monitoring Systems (TMS) are false positives. So, why don’t we…
Keith Furst is the Founder of Data Derivatives, and has years of experience within a variety of financial institutions…
Keith Furst is the Founder of Data Derivatives, and has years of experience within a variety of financial institutions including Tier One wholesale banks, investment banks, foreign bank branches, commercial banks, retail banks, broker-dealers, prepaid card providers and merchant acquirers with…