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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Learn the essentials of CMMC 2.0 compliance for defense contractors. Understand the three requirement levels to secure your DoD contracts.

This guide breaks down the framework for defense contractors handling CUI and FCI. We explain the core differences between foundational, advanced, and expert levels of CMMC 2.0 compliance, helping you identify exactly where your organization stands. By clarifying these standards, you can better navigate the regulatory landscape and avoid potential penalties associated with non-compliance.

Securing your business requires a clear understanding of federal requirements. If you are preparing for an audit or simply need to verify your current standing, this overview provides the necessary context to move forward. Implementing proper CUI protection and FCI security measures is vital for maintaining eligibility for future government work.

For personalized help with your security posture, contact Arrakis Consulting. Please comment below with your current CMMC level to help us tailor future content.

Shadow AI poses serious risks to your business. Learn how unapproved AI tools cause data breaches and legal trouble for your team.

Shadow AI refers to employees using AI tools without company approval, which creates significant vulnerabilities. This video examines why this practice is dangerous, specifically regarding client NDAs and legal compliance. It is essential for managers and business owners to understand how these tools impact data confidentiality before a breach occurs.

By establishing clear AI policy guidelines, organizations can effectively manage the risks associated with corporate AI usage. Protecting company assets requires proactive measures rather than reactive damage control. We break down the specific legal and financial repercussions companies face when they fail to govern these technologies properly, ensuring you have the knowledge to secure your operations against AI security risks.

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Discover the unseen threat of Shadow AI, where unauthorized artificial intelligence tools bypass your company's security, creating significant cybersecurity risks. This video highlights how these tools can expose sensitive data and lead to vulnerabilities, emphasizing the critical need for robust ai governance and effective ai risk management to protect your information security.

In this video, we'll discuss the importance of future-proofing cybersecurity and what you need to know to protect your privacy in the digital age. Stay informed and secure!

Meeting regulatory requirements is a "minimum standard" and does not project true security.