A new report tells a story that compliance professionals should read carefully. While the report focuses on finance leaders across Asia Pacific, the real lesson for compliance is much broader: artificial intelligence is no longer a future-state technology discussion. It is now an operating model, risk management, governance, and controls issue. For CCOs, that means AI must move from the innovation agenda to the compliance agenda.
Technology
Provided by
How Does AI Affect Your Business Case For Compliance Technology Investment?
Every AI investment faces the same question: does it withstand scrutiny? This webinar helps compliance leaders design AI business cases that withstand financial, operational, and governance reviews.
Posted inOpinion
The third party you forgot to vet: AI tools and the TPRM blind spot in manufacturing
AI tools are arriving through the back door of enterprise software — no contract, no due diligence, no TPRM trigger — and most manufacturing compliance functions have no idea they are already inside.
Provided by
Separating AI Fact from Fiction
This webcast will be a candid exploration of how ethics, leadership, and innovation intersect in today’s AI-driven world.
Posted inRisk Management
Gavin Proudley, SVP Risk & Compliance at Dow Jones, on compliance challenges from divergent rules and geopolitics
Diverging global rules, sanctions, and tariffs being “weaponized,” and more have made compliance complex even before the U.S. strikes on Iran. We asked Gavin Proudley, SVP Risk & Compliance at Dow Jones, what this means for compliance managers and how they can stay ahead of shifting geopolitics and tighter regulations.
Posted inTechnology
MAS’s agentic AI playbook offers a governance lesson for every regulated industry
Singapore’s new AI risk handbook is more than a financial services toolkit. It is an early blueprint for how compliance, legal, and business leaders should govern agentic AI before the technology outruns their controls.
Posted inRisk Management
Technoethics: The corporate responsibility gap leaders can’t ignore
As AI adoption accelerates, organizations are quietly deprioritizing the very safeguards that keep them compliant — creating governance blind spots, regulatory exposure, and stakeholder trust gaps that compound faster than most leaders realize. Compliance teams don’t have to wait for the consequences to hit: implement the following concrete steps to put technoethics back at the center of AI strategy.
Posted inTechnology
The next era of compliance: How banks will stay ahead of financial crime in 2026
Financial crime is becoming faster, smarter, and more difficult to trace. By 2026, banks and regulators will approach compliance with a new mindset. The shift is away from reaction and toward prevention, partnership, and people.
Posted inRisk Management
GSA’s draft AI Clause turns governance into a contractual mandate
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.
Posted inTechnology
Employment law in the age of AI: Compliance considerations
Employment law in the age of AI is evolving faster than many companies can keep pace. As more states enact AI laws and as more case law piles on, chief compliance officers and in-house counsel must ensure that compliance policies and procedures evolve as AI legal and compliance risks evolve.
