Does the West want to have its digital existence defined by adversaries, or is it ready to devote the time, resources, expertise and planning required to more fully take control of its evolving destiny? That's the techno-Darwinian call to arms issued by Jeremy Fleming, the director of Britain's GCHQ intelligence...
The COVID-19 pandemic has led to an uptick in financial crimes, a sudden rise in digital banking activities and resources working from home. As a result, the AML landscape has become more challenging for Financial Institutions and other AML regulated entities.
How has the AML regulatory climate shifted most...
Pharmaceutical companies can leverage data analytics, predictive analytics and artificial intelligence to fight drug diversion fraud, says Charles Washington, senior director, global fraud and asset protection, at Pfizer.
Organizations should go beyond one-time passwords to include other layers of authentication as they strive to mitigate the risk of synthetic ID fraud, says Amy Walraven, president of Turnkey Risk Solutions, a Newark, Delaware-based risk management company.
He started his cybersecurity career as a pen tester. As a result, Gong CISO Jack Leidecker retains an affinity for the tech community and emerging tools. He shares insight on this passion and his drive to ensure security’s role in business enablement.
High-speed identity screening can play a critical role in cracking down on fraud tied to COVID-19 economic relief efforts without impeding legitimate access to funds, says Dr. Gary Shiffman, CEO of Giant Oak, which offers artificial intelligence technology.
The U.S. government should take a number of steps to help minimize the risk that benefits provided by the next rounds of economic stimulus programs designed to provide relief from the impact of the COVID-19 pandemic are not fraudulently obtained, security experts say.
More fraudsters are using artificial intelligence to generate “Frankenstein faces” for use in synthetic identity fraud. Kathleen Peters of Experian outlines this disturbing development in fraudster behavior, as outlined in a new report.
The new year has kicked off with a flurry of data security company acquisition activity; five deals have already been announced. Companies making acquisitions are striving to improve their secure access service edge - or SASE - posture, enter new markets or bolster their technology portfolios.
Many companies claim to be successfully using artificial intelligence for security, but the use cases are still not convincing because the technology is incapable of detecting unknown malware, says Guy Sheppard of SWIFT.
In this eBook learn how organizations can achieve cyber resilience in an increasingly digitized world. Gain quick tips on how to get the board’s attention and approval on CyberSecurity investments. And finally, deep dive into how to combat cyberattacks effectively with a CyberSecurity Incident Response Program.
"Has anyone witnessed any examples of criminals abusing artificial intelligence?" That's a question security firms have been raising. A new report has identified likely ways in which such attacks might occur and offers examples of threats already emerging
As synthetic ID fraud in the financial services sector continues to rise next year, organizations must use new technologies to mitigate the risks, says Saif Nawaz of Meridian Credit Union in Canada.
Twenty financial institutions are collaborating to identify how machine learning can be used to detect synthetic ID fraud, says Greg Woolf, CEO at the security firm FiVerity.
Traditional anti-money laundering (AML) and combating the financing of terrorism (CFT) tools and tactics take longer and cost more than they should. To fortify the defense, financial institutions need ways to:
Automate tasks that formerly required human intervention, such as disposition of alerts
Detect more risk...
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