Aysha

Fraud Analytics & Forensic Auditing The Future of Fraud Prevention with AI, Blockchain, and NLP Fraud is becoming more sophisticated, and traditional audits are no longer enough. Manual reviews and sample-based testing often react too late, leaving organizations exposed. To stay ahead, businesses need continuous, intelligent, and proactive auditing—powered by…

Setting Up an Agentic Internal Audit Department The Future of Assurance: Human + AI Collaboration Internal Audit is evolving. Traditional, sample-based methods that look backward are no longer enough to address fast-moving risks. Organizations now need real-time, proactive assurance—something that’s only possible through a new model: the Agentic Internal Audit…

Challenges in Admissibility and Integrity of Digital Evidence Why digital proof isn’t as straightforward as it seems. Perception vs. Reality At first glance, digital evidence seems easy to manage: extract the data, analyze it, and present it in court. The reality is far more complex. Courts require strict chain-of-custody protocols…

The Big Picture In 2025, human capital management and workforce risks have become the top concern for organizations worldwide. Talent shortages, vulnerabilities in hybrid work models, and widespread employee well-being challenges are reshaping organizational resilience. Skills Shortages The global shortfall in cybersecurity talent has reached 4.8 million. Companies lacking skilled…

The Hidden Weakness in Audit: Over Reliance on Checklists Audits often rely heavily on checklists. While these tools bring structure and consistency, they can also create a dangerous illusion of control. The story of “ZD” illustrates why ticking boxes is not the same as uncovering risk. The Illusion of Control…

The Status Quo Many organizations still rely on spreadsheets, emails, and fragmented reports to manage sustainability and greenhouse gas (GHG) data. While familiar, these methods are outdated and unfit for today’s demands. The Problem with Manual Processes Collecting data manually is slow, error-prone, and often outdated by the time it…