IIA GAM 2025 Conference

The IIA GAM 2025 Conference brought together the brightest minds in internal audit, finance, and risk management. Over three days in Orlando, industry leaders tackled the biggest challenges facing audit teams today—rising financial complexity, growing regulatory pressure, and the undeniable need for AI-driven transformation. FedEx’s Jamie Bailey Meziere and ExxonMobil’s Beth Casteel led insightful discussions … Read more

Your data tells a story, and it can reveal irregularities if you know how to read it. Anomaly detection can do just that, helping you find outliers that can point to issues like fraud. Whether it’s a suspicious transaction, a cybersecurity threat, or an operational hiccup, anomalies hold the key to insights that can save … Read more

Transparency and accountability are essential for businesses worldwide. While traditional audits provide these safeguards, their periodic nature often leaves gaps in risk coverage. Continuous auditing, powered by AI, offers a proactive solution, enabling real-time insights and more effective risk management. This article explores the fundamentals of continuous auditing, its use cases, benefits, challenges, and implementation … Read more

The extraordinarily rapid advancement of machine learning in this decade is putting enormous pressure on enterprises of all kinds to incorporate AI into the applications that drive their operating models. The gains in productivity are almost certain to be game-changing, but it is early days, and that is putting risk management in the spotlight as … Read more

Anomaly detection in financial data involves identifying unusual patterns or behaviors that deviate from expected norms. It is essential for detecting potential risks, such as fraud, policy violations, or inefficiencies, enabling organizations to take proactive measures to safeguard their operations. However, identifying financial anomalies is no simple task. These irregularities can be deeply embedded within … Read more

Financial professionals are inundated with vast amounts of data, making it increasingly difficult for teams to sift through information and identify areas of concern. Our users want a solution that doesn’t just show them the data, they want to be told exactly where risks are lurking and how to act on them. Traditional methods, even … Read more

The accuracy of financial data is not just an operational need but a strategic imperative. Clean financial data is crucial for reliable financial analysis, accurate reporting, and sound decision-making. Finance teams need to be the trusted source of truth. This allows the business to maintain consistent compliance, manage risks, and optimize performance in business operations … Read more

In today’s data-driven world, financial professionals grapple not only with vast amounts of data but also with the need for clarity amidst complexity. Leading this charge is MindBridge, which transforms how these professionals uncover insights and manage risks by harnessing the power of artificial intelligence (AI) for anomaly detection. At the heart of MindBridge’s success … Read more

Unlock the power of AI-driven anomaly and risk detection. Explore ensemble AI, segment, & disaggregated revenue analysis for financial insight

Learn how financial anomaly detection can help identify non-anomalous transactions and assess risks in embedded leases and earnings quality

As the complexity of data analysis increases, preemptive vs. reactionary capabilities become paramount. Data anomaly detection can help.

Anomaly detection is critical for making the most of audits. Here’s how to use anomaly detection to identify risks and get the best outcomes.