By Jon Prentice, International Compliance Association 2021-12-30T15:18:00
With 2021 nearing its end, Jon Prentice of the International Compliance Association recaps three major compliance topics and talking points that have stood out this year.
2022-02-10T16:01:00Z By James Thomas, International Compliance Association
As the United Kingdom aims to become “the world’s first net zero-aligned financial center,” financial institutions are being required to have “a robust firm-level transition plan setting out how they will decarbonize.” Where should they start?
2022-01-07T18:25:00Z By Aaron Nicodemus
The amount of illicit cryptocurrency transactions reached an all-time high in 2021 at $14 billion, according to a Chainalysis study due out next month. The rise coincides with significant increases in the overall volume of crypto transactions.
2021-12-29T17:26:00Z By Julie DiMauro
If 2021 was about transition under the Biden administration, 2022 is looking as if it will be a year of action. CW Director of Compliance Programs & Training Julie DiMauro shares her list of key areas she expects to receive enhanced scrutiny in the year ahead.
2025-11-20T21:55:00Z By Ruth Prickett
Geopolitical instability and a general focus on increasing growth and productivity by governments worldwide are causing a slew of regulatory changes in the financial services sector. But most firms are failing to identify potential compliance changes early enough to make meaningful decisions.
2025-11-05T20:28:00Z By Ruth Prickett
Insurance firms are warning that AI-washing could trigger a slew of cases against directors, and are adjusting their directors’ and officers’ liability premiums accordingly. With regulators cracking down on AI-washing, compliance could be a crucial line of defense and save companies on their insurance costs.
2025-10-24T18:57:00Z By Ruth Prickett
“Hallucinatory” citations and errors in an AI-assisted report produced by Deloitte for the Australian government should be a wake-up call for compliance officers about the risks of placing too much trust in AI.
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