Audit and assurance teams today are equipped with powerful tools, robust methodologies, and increasingly advanced audit analytics. From risk assessment to control testing to substantive procedures, data is embedded at every phase of the audit process. Yet, despite this data-driven approach, many teams find themselves asking the same question: Why aren’t we uncovering more? The real … Read more
With the rise of generative AI tools like ChatGPT, creating realistic fake invoices has become disturbingly easy. What once took hours of manual forgery can now be executed in seconds—at scale. For auditors, that changes everything. The Problem: Fake Invoices Are Undermining Trust Invoices have long been considered one of the most trusted forms of audit evidence. … Read more
Auditors have always carried the weight of trust—tasked with upholding financial integrity in an increasingly complex world. That responsibility hasn’t changed. But the environment auditors operate in? That’s evolving fast. Today’s audits don’t just face more scrutiny—they face a new scale of risk. Transactions happen in milliseconds. Data volumes have exploded. Fraud and errors have … Read more
In an era where financial complexity grows daily, internal audit teams are facing heightened pressure to maintain compliance, manage risk, and ensure accuracy across vast datasets. Traditional audit methods, while reliable in the past, struggle to keep pace with the evolving demands of modern financial and operational data. AI-powered internal audit software, like MindBridge’s innovative … Read more
This guide covers how the international standards addressing technology ethics and bias in auditing affect organizational tech use.
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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.
Human-centric AI for anomaly detection is designed to use human input to help support and scale financial risk discovery objectives.
Anomaly detection is a powerful technique for detecting fraudulent transactions and behaviors, thanks to financial institutions’ ever-increasing amounts of data.
