Online Exclusives
View AllDiscover five practical strategies for helping internal auditors build AI skills and adopt AI responsibly.
Overconfidence, automation, and lax regulation can lead to complacency, even in a volatile financial services environment.
New COSO guidance helps organizations strengthen board governance, enterprise risk management, and strategic decision-making.
New CAEs build trust, think strategically, and align internal audit with organizational priorities to deliver greater value and impact.
Financial services firms face growing pressure on third-party risk programs, driving shifts toward automation, outsourcing, and more structured processes.
Federal agencies pursue technology modernization while managing legacy systems, skills gaps, AI adoption, and cybersecurity risks.
Digital Magazine
View AllLearn how internal auditors assess AI projects to ensure ROI, strengthen governance, and prevent costly failures.
Learn how AI “truth decay” is challenging audit evidence and why internal auditors must strengthen professional skepticism.
U.K. internal auditors call for stronger oversight and internal audit requirements for private water utilities.
David Helberg explains how internal auditors can strengthen human judgment, critical thinking, and leadership in the AI era.
Early-cycle audits help public sector organizations identify construction project risks before they become costly overruns.
The IIA celebrates 85 years of advancing internal audit through standards, certifications, and global leadership.
IAm
Felipe Ribiero's off-roading and kite-surfing adventures mirror the adaptability that define great internal auditing.
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Blogs
View AllLearn how internal auditors use data analytics to detect greenwashing fraud, assess sustainability data, and identify risks across disclosures.
Internal auditors apply human judgment, ethics, and influence to deliver value alongside AI-driven tools.
As AI adoption grows, internal auditors must challenge LLM use, ensuring quality, protecting data, and maintaining critical thinking and professional judgment.
Anomaly detection isn't about the perfect model.
Auditors should understand p-card fraud risk.
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