Collaborate Disseminate
Due to the rise in popularity of newer social media outlets throughout the world, many fraudsters have expanded their activities to include multiple platforms. Gain insight on why social media has become so attractive to fraudsters and what types of i… Continue reading The Dark Web Goes Social
The recent takedowns of several major underground marketplaces have forced fraudsters to move their cybercriminal operations to new platforms. Some newly favored options include social media platforms, websites hosted on the blockchain, and perhaps ev… Continue reading Cybercrime Operations: Where Will Fraudsters Go Next?
Risk-based authentication leverages machine learning to consume third-party fraud data and business intelligence to predict fraud risk more accurately and allow good customers to pass unhindered. Learn how one organization was able to leverage business… Continue reading Applying Cross-Channel Data to Improve Fraud Detection
Account takeover attacks are increasing due to mass data breaches and phishing attacks which have exposed billions of usernames, email addresses and passwords. Learn more about this growing threat and why automated attacks are so difficult to spot.
The… Continue reading Account Takeover Surge Results from Mass Data Breaches and Phishing
As cybercriminal tactics evolve, banks must employ fraud detection solutions that leverage artificial intelligence to evaluate new registrations for signs of money mule activity.
The post How Cybercriminals Use Money Mule Accounts to Profit From Online Fraud appeared first on Security Intelligence.
Continue reading How Cybercriminals Use Money Mule Accounts to Profit From Online Fraud
As cybercriminal tactics evolve, banks must employ fraud detection solutions that leverage artificial intelligence to evaluate new registrations for signs of money mule activity.
The post How Cybercriminals Use Money Mule Accounts to Profit From Online Fraud appeared first on Security Intelligence.
Continue reading How Cybercriminals Use Money Mule Accounts to Profit From Online Fraud
DataVisor, a company that uses machine learning to detect fraud, announced a $40 million Series C funding round Monday led by Sequoia Capital China. The company, founded by two former Microsoft Research employees, uses unsupervised machine learning to discover malicious behavior. Unsupervised learning allows machines to track patterns across data sets in order to make decisions on their own, as opposed to supervised learning, which trains computers through data feeds provided by engineers. DataVisor detects various types of fraud and abuse, including fraudulent transactions, fake content, spam and abuse, identity theft, application fraud and money laundering. The company says its technology protects 2 billion users globally, with a client list that includces Pinterest, Yelp, Alibaba Group, Dianping, Toutiao, Cheetah Mobile and Tokopedia. “Enterprises today are facing constantly evolving threats from sophisticated and tech-savvy fraudsters who continuously experiment and find ways to evade detection,” said Yinglian Xie, CEO and co-founder of DataVisor. “This new […]
The post DataVisor raises $40 million Series C for machine-learning fraud detection appeared first on Cyberscoop.
Continue reading DataVisor raises $40 million Series C for machine-learning fraud detection
To defeat increasingly sophisticated fraudsters, security teams should pair their fraud detection tools with a device ID spoofing mechanism that automatically adapts to new threats.
The post Why Device ID May Not Be Enough to Stop Fraud appeared first on Security Intelligence.
Continue reading Why Device ID May Not Be Enough to Stop Fraud
Financial institutions looking to improve the customer experience in 2018 should implement multilayered security solutions to crack down on identity theft and detect new account fraud.
The post New Year, New Account Fraud: Identity Theft May Be Holding Back Your Customer Experience Resolutions appeared first on Security Intelligence.
Omnichannel fraud has evolved to exploit the myriad technologies retailers have developed to enable consumers to purchase goods anytime, anywhere.
The post Are You Prepared for Omnichannel Fraud? appeared first on Security Intelligence.