This commentary is authored by Kshemendra Paul in his personal capacity. The views and opinions expressed are his and not those of the U.S. Government or any of its agencies Most agencies don’t use ...

Enterprise Risk Management (ERM) represents an integrated framework designed to identify, assess and manage potential hazards across an organisation. This holistic approach leverages both quantitative ...

The modern business landscape continues to evolve, but enterprises are reluctant to change alongside it. Many organizations lack the means or desire to establish the platforms and protocols that ...

Cyber risk management supports resilience by enabling timely, informed decisions that reduce disruption and align with enterprise performance goals. Integrating cyber into ERM frameworks ensures risks ...

The A-D-A-E framework is a governance model that injects ESG accountability, enterprise risk management, regulatory ...

AI elevates compliance, or exposes it. The technology presents compliance leaders and lawyers with an extraordinary opportunity to elevate their roles, as well as an equally extraordinary risk of ...

What is a risk management framework? Implementing the principles and guidelines of a risk management framework (RMF) is not just an effective way to manage current risks, it also provides a structured ...

Organizations benefit from major business advantages of cloud, including reduced infrastructure and IT costs, flexible OpEx-based pricing, rapid scaling for hybrid or multi-site environments, and ...

A lifecycle-based guide to securing enterprise AI—covering models, data, and agents, with five risk categories and governance guidance for leadership.

Critical infrastructure has long been associated with physical assets—power plants, transportation networks, hospitals, and ...

A new report issued by the Association of International Certified Professional Accountants and North Carolina State University’s Enterprise Risk Management (ERM) Initiative has looked at the state of ...

As banks race to adopt artificial intelligence, a debate is raging within the industry over how AI risks should be managed. Banks generally fall into one of two camps: those that treat AI as a model ...