Advanced Fraud Solutions and Q6 Cyber Reveal Latest Fraud Threats Developing in the Dark Web
HIGH POINT, N.C., Sept. 5, 2019 /PRNewswire/ -- Advanced Fraud Solutions (AFS), a leader in deposit fraud detection software, and Q6 Cyber, a leading provider of e-crime intelligence, today announced the release of a new white paper that reveals the growth and sophistication of Dark Web-based threats, titled, "Fighting Fraud with Dark Web Intelligence." The white paper explores the inner workings of the Dark Web, the latest tactics and channels used by fraudsters, as well as best practices on how to monitor and respond to Dark Web-based threats.
Click here to download the white paper
Over the course of numerous widespread data breaches, the amount of compromised account information and PII available on the Dark Web has grown exponentially. This alarming trend comes at a risk for financial institutions looking to protect their customers against fraud. The white paper highlights these threats, and explores the latest tactics used by Dark Web fraudsters, including account takeovers (ATO), card-based threats, business e-mail compromise (BEC), malware and more.
"It's not enough to protect against fraud threats as they occur," said Eli Dominitz, founder and CEO, Q6 Cyber. "The information being sold on the Dark Web of today is the same information being used in the fraud attacks of tomorrow. The more informed financial institutions are about what consumer data and account information is at risk, the better they can defend against potential vulnerabilities and attacks."
In addition to exploring the latest fraud tactics, the white paper also reviews software solutions that provide targeted, timely, and highly actionable intelligence on compromised data found on the Dark Web.
"The best way to proactively interdict Dark Web-based threats is to better understand what's happening on the Dark Web and what information is being bought and sold," said Ted Kirk, VP, Strategic Partnerships, AFS. "To protect against card-based threats, financial institutions need real-time insights, and tools that allow them to proactively and holistically monitor card holder data. Our joint solution with Q6 Cyber delivers this functionality, along with the means to take action and protect compromised accounts."
The white paper comes in advanced of a forthcoming webinar featuring fraud experts from AFS and Q6 Cyber, titled, "Shinning a Light of the Dark Web," taking place at 2:00 PM ET, Tuesday, September 10. Register for the webinar here.
About Advanced Fraud Solutions
Advanced Fraud Solutions was founded in 2007 with the simple mission to help financial institutions and businesses prevent fraud in real-time by utilizing our comprehensive private cloud-based software solutions at the frontline and in the back office. Every day, our innovative fraud prevention tools help banks and credit unions of all sizes eliminate losses and safeguard their financial assets, providing the level of protection that today's customers demand. At Advanced Fraud Solutions, we know the best way to fight fraud is to prevent it. Learn more at www.advancedfraudsolutions.com.
About Q6
Q6 Cyber is an innovative e-crime intelligence company based in the USA and Israel. Q6 monitors the "Digital Underground" (including the Dark Web and Deep Web) to proactively identify and eliminate cyber threats and fraud. Q6 comprehensively monitors cybercriminal and fraudster marketplaces, networks, communities, and forums to spot relevant threats before they materialize into fraud losses or damaging breaches. This highly-targeted and actionable intelligence is presented in an easy-to-use format so that clients can take action quickly and effectively. Q6 is led by seasoned professionals with decades of experience in US and Israeli intelligence and law enforcement agencies. Q6 serves large enterprise customers around the world, including many leading financial institutions. Get ahead of fraud and protect your organization and customers with Q6. Learn more at https://q6cyber.com.
SOURCE Advanced Fraud Solutions
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