Financial institutions are in the business of risk management and reallocation, and they have developed sophisticated risk management systems to carry out these tasks. The basic components of a risk ...

Corporate leaders across global markets continue to rely on cybersecurity models designed for a different era. The prevailing ...

As organizations integrate data-driven insights into their operations, predictive screening models are emerging as both a safeguard and a growth catalyst.

AI is reshaping cyber and operational risk in banking — but not always in predictable ways. It offers tools for fraud reduction, threat detection, and operational efficiency. At the same time, it ...

The U.S. bank supervisory agencies recently issued for public comment revised guidance regarding the implementation of the proposed Basel II-related, risk-based capital requirements. Among the ...

Atkar: Not necessarily on operational risk. For instance, the recent Basel paper on the treatment of insurance to mitigate operational risks proposes arguably a more complicated approach than ...

The gap between AI and traditional risk modelling is substantial. Traditional models often fall short when dealing with complex, non-linear relationships. In contrast, AI models thrive in detecting ...

Following the global financial crisis that began in 2007–08, policy- makers have multiplied their efforts and implemented reforms to strengthen the resilience of the financial sector. But – while ...

Operational resilience is defined as an organization's capability to endure adverse disruptions, adapt to challenges and recover from events such as cyberattacks, natural disasters, supply chain ...

Jodi Richard never wanted to be a stay-at-home mom. Her mother was a manager at a regional bank and she instilled a solid work ethic within Jodi from a young age. There are no free rides. Richard went ...