Machine learning (ML) is shaping the cyberworld and how users interact with organizations.
It's one thing to defraud a bank and its customers, but it is quite another for cybercriminals to get away with it.
As we get closer to the 60th anniversary of the digital password, the calls to ditch the antiquated technology are getting louder and more widespread.
Anti-fraud solutions are essential for financial institutions, but it is not enough to just protect an organization’s brand and end users; cyberattacks also target internal systems, employees, and sensitive data.
Cybercriminals are nothing if not persistent. A large financial institution with a global presence has been experiencing a series of sophisticated malware injection attacks – despite the steady failure rate, the cybercriminals behind the attack campaign continue to persist.
During my tenure as an IT executive in the banking sector, I experienced firsthand the frustration organizations face when they have been targeted by a phishing attack but are unable to learn much more than that.
The latest edition of Cyxtera’s Faces of Fraud report, conducted with assistance from the Information Security Media Group (ISMG), collected responses from over 150 financial security leaders about fraud attack and protection trends.
Customer A is a creature of habit. He values order and tends to do things in the same way, from the same place, and normally around the same time.
Financial institutions aiming to implement a holistic security strategy must ensure that they focus not only on their external anti-fraud efforts, but also on their internal security.
The fraud security industry is always evolving to keep up with the latest threats and trends. There is, unfortunately, one constant: while the technology is quick to adapt, implementation and adjustment times are notoriously slow.