Fraudsters are sly, cautious, sneaky, crafty, quiet, surreptitious and smart. They are constantly changing the game: seeking out new techniques, leveraging past exploits, and being creative in order to find…
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Banks, credit unions and credit card companies have been warned about the meteoric rise in fraudulent activities like Synthetic Identity Fraud (SIF). The question is: Are they now prepared to…
According to Allstate Insurance, in 2018 alone, 14.4 million people were victims of some type of identity theft. Most often, identity thieves use stolen personal information for illicit financial gain….
Financial Institutions Need Technology Partners in the Changing Cybersecurity Landscape Change continues to accelerate at rapid speed. Now in 2021, a global pandemic, a struggling economy, and a new administration…
FiVerity is nominated as a Top Cyber Security Company in Massachusetts by Threat Technology. We are proud to be listed based on exceptional performance in innovation, growth, management & societal…
Harvard Business School and The Laboratory for Innovation in Science at Harvard (LISH) recently held a webinar, “AI in Enterprise,” featuring FiVerity’s CEO, Greg Woolf, Senso.ai CEO, Saroop Bharwanil, and moderator,…
The cyber threat landscape is becoming more complex Cybercrime is predicted to inflict damages totaling $6 trillion USD globally in 2021. The anti-fraud outlook for 2021 is evolving but synthetic identity...
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Synthetic Identity Fraud (SIF) is one of the biggest problems facing financial institutions, e-commerce companies and all forms of online businesses today. The FBI says this fastest growing financial crime…
Greg Woolf on the Battle Against Synthetic ID Fraud and the Role of Machine Learning Twenty financial institutions are collaborating to identify how machine learning can be used to detect...
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FiVerity and NCFTA jointly issue a security bulletin on more effective ways to combat synthetic identity fraud BOSTON–(BUSINESS WIRE)–FiVerity, a leading provider of machine learning solutions for cyber fraud detection…
