Compliance professionals who can demonstrate their understanding of AI governance risks and contribute to closing current governance gaps are well placed to support their organizations and boost their own future careers.
AI
Posted inBest Practices
Beyond breaching privacy: The compliance risks of workplace surveillance
When organizations implement workplace surveillance tools, the conversation often begins with privacy. Questions about employee consent, data collection, retention periods, and legal compliance are essential. But as workplace monitoring technologies become more sophisticated, focusing exclusively on privacy risks often overlooks a much larger challenge.
Posted inBanking
ECB wants top bank CEOs to set out plans for AI-related cyber risks
The European Central Bank has written to the CEOs of Europe’s top banks to ask what plans they have in place to deal with potential AI-related cybersecurity threats.
Posted inAccounting & Auditing
AI hallucinations and global business deals in PwC report highlight compliance risks
Big Four consultancy PwC is reassessing four recent “thought-leadership” reports after an investigation found multiple AI-generated hallucinations and errors. The case highlights the need for human oversight of AI-written content and for AI governance to be integrated with compliance programs.
Posted inBest Practices
The inference gap: Auditing the AI risk no framework requires you to see
When external regulation lags, internal audit becomes the only line of defense. AI’s environmental footprint is a live governance exposure, and right now, almost no one is auditing it. A company can run an AI product billions of times a day with no obligation to measure what it consumes: No requirement to report the energy […]
Posted inBest Practices
AI demands a new risk operating model. Are risk leaders up to the task?
For years, risk, compliance, and internal audit functions have been asked to absorb and integrate new technologies and ways of working while facing off against increased business expectations without fundamentally changing the risk management operating model that underpins them. Capabilities such as continuous controls monitoring, dynamic risk assessments, and new reporting requirements have been layered […]
Posted inBest Practices
The Reverse Information Paradox: The role of compliance in AI governance
AI use creates hidden knowledge transfer to providers, raising governance, IP, and third-party risk issues. Compliance officers need to define ownership boundaries and contract protections around AI interactions.
Posted inOpinion
Chris Clarke, CCO at Bloomsbury Money, explains why asset tokenization and risk-based compliance are key FS trends
An early role in AML and due diligence in a client-facing role gave Chris Clarke his first taste of compliance. His background in Jersey, an international financial center that services global markets, made financial services an obvious choice.
Posted inRegulatory Policy
By creating a new AI and exams position, SEC may be ramping up Marketing Rule enforcement
The SEC has created a new position on AI and examinations for broker-dealers and investment advisers. The move should signal to regulated entities that the SEC may begin applying more sophisticated AI tools to scour advertisements made by firms for false or misleading claims
Posted inBest Practices
The hidden compliance cost of building AI-based AML tools in-house
“We can build that internally” sounds like control and savings — until the subject is AML risk assessment technology. A simple internal build can quietly become a governance liability. The real question isn’t whether the tool can be built, but whether it can be governed.
