By Markus Hornburg, CW guest columnist 2025-03-11T14:37:00
CFOs are tasked with overseeing an organization’s entire financial processes, not least ensuring that financial operations remain compliant with the multitude of global regulations. It’s a heavy burden to carry that might be alleviated slightly with the help of artificial intelligence, writes Markus Hornburg, head of compliance at Basware.
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2025-08-21T19:59:00Z By David Cole and Michael Mayes, CW guest columnists
In today’s complex and rapidly evolving regulatory compliance environment, organizations should have a thorough and effective internal investigations program in place to address any allegations of misconduct.
2024-08-05T13:01:00Z By Neil Hodge
The European Union’s Digital Operational Resilience Act, which is set to take effect next year, will require financial services firms to implement stronger measures to protect not only themselves from disruption caused by cyberattacks but also the sector as a whole.
2022-09-16T15:50:00Z By Aaron Nicodemus
Deputy Attorney General Lisa Monaco announced sweeping changes to the Department of Justice’s efforts to fight corporate crime, including new guidance regarding individual accountability, voluntary self-disclosure, compliance monitors, and ways to strengthen compliance culture.
2026-03-19T14:43:00Z By Tom Fox
A sweeping proposed federal procurement clause would push AI oversight out of policy decks and into compliance operations, vendor management, and real-time control testing.
2026-03-13T15:48:00Z By Tegan Gebert, Chris Audet and Doug Eckstein, CW guest columnists
New Gartner research reveals why traditional risk management is failing to keep pace with modern risks, and outlines how compliance leaders must enable organizational risk owners to build an instinctive Risk Reflex.
2026-03-12T20:37:00Z By Jonny Frank and Michael Costa, CW guest columnists
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 accountability when AI fails, misleads, discriminates, hallucinates, or generates unreliable outputs.
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