Online Exclusives
View AllLearn how internal audit can help healthcare organizations strengthen data governance, manage legacy data risks, and improve assurance.
Discover 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.
Digital Magazine
View AllPerla Habchi shares how creativity, sewing, and attention to detail shaped her approach to problem-solving and internal auditing.
Learn how The IIA is helping students discover careers in internal auditing through new programs and initiatives.
How internal audit balances independence, trust, and stakeholder engagement to deliver greater value.
Learn how internal audit helps pharmaceutical R&D drive innovation, strengthen governance, and manage transformation risks.
Learn how an AI audit mentor helps onboard internal auditors with personalized guidance and Standards-based coaching.
Learn how internal audit helps TMT companies address cybersecurity, AI, and evolving technology risks.
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 can strengthen data privacy by evaluating data flows, governance, and privacy controls across organizations.
Learn 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.
