The SEC's 2026 examination priorities reveal a significant shift: Concerns about cybersecurity and AI have displaced ...

For a long time, companies believed data sovereignty simply meant where their data resided, but amid geopolitical shifts and ...

Your approach to risk management and regulatory compliance is probably broken. Not because you don’t have capable people ...

As compliance pressure grows, enterprises are shifting away from fragmented safety processes toward centralized digital ...

Third-party relationships are double-edged swords— they can be your most significant force multipliers or risks. Third-party vendors are ingrained in all aspects of an organization, from accountants ...

The COVID-19 pandemic provided an increased level of data and technology resilience for the financial sector to prepare and fight operational risks, agreed a panel at this year’s Association for ...

Operational risk is the silent compounding factor in alternative asset management. When it’s well managed, investors rarely ...

Artificial intelligence has become the defining frontier of modern finance. From generative models that accelerate document handling to machine learning systems that detect fraud in real time, AI ...

More than a decade after the Basel Committee on Banking Supervision introduced its principles for effective risk data ...

Data is one of the most valuable assets for any organization, and the risk of that data being tampered with, stolen or deleted is a fundamental fear. Over the past decade, we've seen an increase in ...

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

In the AI era, we’re constantly talking about how important data is—storing data, disseminating data, and protecting data. As data specialists, we understand bad data management leads to bad use of AI ...