Operational risk scenario analysis has existed for a long time. Why is it under more scrutiny now? Patrick Naim, Elseware: I wouldn’t describe it as scrutiny so much as more ambitious objectives for ...

Operational visibility is no longer just a security concern; it is becoming fundamental to how data centers operate ...

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 ...

The global expansion of AI has elevated data centers to the top of the digital economy. Every model of inference, training ...

Global financial technology leader FIS® today announced the launch of FIS Enterprise Risk Suite on Amazon Web Services (AWS). Upgrading risk software has always meant disruption and for firms managing ...

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 ...

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 ...

Operational risk management encompasses the identification, assessment, monitoring and mitigation of losses arising from inadequate or failed internal processes, people, systems or external events.

Regulators around the world differ in their approach to model risk management (MRM) regulation – including their definitions of what a model is. While some are more prescriptive, others such as the UK ...

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 ...