Tag: technology

When AI Models Hallunicnate

Internal Audit's Role in Governing AI: PART 2
AI Hallucinations: When Your Models Start Making Things Up

On By Nirpendra Ajmera

No alert fires. No system throws an error. The model confabulates, and the organization relies on it. Most organizations assume they are reviewing AI outputs. In practice, many are reading confident text without asking whether a single sentence is accurate. This is the hallucination problem. For internal audit functions serious Read More

AI Model Drift

Internal Audit's Role in Governing AI: PART 1
Model Drift: When AI Models Lie and What Internal Audit Must Do about It

On By Nirpendra Ajmera

There is a particular kind of risk that keeps model risk officers up at night. It is the risk of a model that keeps running, keeps producing outputs, keeps feeding decisions into the business, while quietly becoming wrong. No alert fires. No dashboard turns red. The model simply drifts, and Read More

What Internal Audit Needs to Know About Zero Trust Architecture

On By Harikrishna Kundariya

Auditing or managing compliance projects means that you are responsible for ensuring your organization meets regulatory standards and protects sensitive data. However, security doesn’t work the way it used to. The network perimeter is becoming harder to define as employees work remotely, companies adopt cloud environments, and more third-party vendors Read More

Change Agents: Internal Audit’s Role in Organizational Transformation

On By Prasant Prusty and Mahmad Aseef

Internal audit is a key part of organizational transformation projects. It has changed from a traditional inspector of compliance to a strategic partner that protects value creation and drives long-lasting change. With this new job, auditors can plan for disruptions, build resilience, and make sure that changes are in line Read More

Internal Audit priorities for 2026

New Study Identifies the Top Internal Audit Priorities for 2026

On By Joseph McCafferty

According to a new survey, more than 70 percent of chief audit executives say that building a culture of innovation in their teams and better leveraging data analytics and generative AI to support internal audit, are important or extremely important priorities in 2026. The report, published by research and consulting Read More

Scenario Planning

AuditBoard Launches Scenario Planning to Help with Data-Driven Decision Making

On By IA360 Staff

AuditBoard, an AI-powered global platform for connected risk, has announced the launch of Scenario Planning, a solution it says was “designed to empower executive leaders and risk teams to shift their focus from reactive reporting to proactive anticipation, enabling them to make data-driven business decisions with confidence in an increasingly Read More

How to get started using ai in internal audit

How to Get Started in Using Artificial Intelligence in Internal Audit

On By Joseph McCafferty

For years, the internal audit profession has watched artificial intelligence from the sidelines — intrigued, occasionally skeptical, and increasingly aware that the sidelines are not a place to stay for long. Now, with generative AI reshaping industries and predictive analytics powering risk management across functions, internal auditors are asking a Read More

Auditing AI

AI Is Here, and It Needs Internal Auditing Now More Than Ever

On By Prasant Prusty and Arundhathy Shabu

GUEST BLOG POST Artificial Intelligence is no longer a futuristic concept. It’s here, embedded in everything from recruitment software and customer service chatbots to financial forecasting tools and fraud detection systems. But with this unprecedented power comes unprecedented risk. From biased decision-making to data-privacy violations, AI systems are capable of Read More

Poor Data Readiness Is Plaguing Corporate AI Projects

On By IA360 Staff

A new research study finds that nearly half of all artificial intelligence projects fail, underperform, or are delayed, despite major investments in AI. The survey indicates that poor data readiness is the leading roadblock to AI execution, driving increased costs, stalled innovation, and lost revenue. The study was released by Read More