Auditors are now demanding an AI system inventory. Learn why this document is essential for compliance and how to build one today.

Many organizations currently lack a formal AI system inventory, leaving them exposed to regulatory scrutiny and operational risks. This video outlines the specific components auditors look for when assessing your organization, including vendor information, specific use cases, and documentation regarding data sensitivity. If you are responsible for organizational compliance, understanding these requirements is critical to safeguarding your operations.

By establishing a clear AI system inventory, you can proactively address auditor requirements and demonstrate responsible AI governance. This breakdown clarifies what needs to be included so you can start preparing your documentation immediately. Building this inventory is a foundational step in effective AI risk management and long-term regulatory alignment.

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Simplify company risk tracking with Fortuna Risk Compass. Learn how to quantify exposure and manage accountability for your business risks.

This demonstration covers how to use risk management software to organize and monitor up to 229 distinct risks. You will see how the platform calculates financial impact by multiplying likelihood by dollar value, providing a clear picture of potential liabilities. This tool is designed for managers who need a centralized system to maintain oversight and ensure no critical issues fall through the cracks.

We also explore the interface features, including detailed risk registers, dollar exposure heatmaps, and structured review timelines. By assigning specific ownership and review dates to each entry, you can maintain better control over your corporate risk register. See how these features combine to provide actionable insights for your risk assessment tool setup.

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Comparing ISO 27001 and SOC2 and why ISO 27001 is becoming more popular than SOC2.

In today's landscape, maintaining robust AI security is vital. ISO IEC 42001 offers a global standard for this, helping organizations manage the ethical use of AI. This standard gives organizations a framework for AI risk management, protecting against vulnerabilities and building client trust.

Understanding data breaches, it's not "if" but "when".