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Introduction

About This Guide

Useful Basic Definitions

GenAI Tool & GenAI Model: What's the Difference?

GenAI Models & LLMs: What's the Difference?

LLMs & GPTs: What's the Difference?

Public and Private GenAI Tools

Understanding Your GenAI Risks

Internal Risks

Third-Party Risks

Cybersecurity Risks

Recommended Actions to Reduce Risk

Build Awareness

Gain Commitment

Take Action

GenAI Governance Basics

Sample Policy: Acceptable Use of Generative AI (GenAI)

Approved Uses of GenAI Tools

Use of Company-Approved GenAI Tools

Prohibited Use of GenAI Tools

Data Protection and Confidentiality

Accountability

Reporting Issues or Concerns

Violations of This Policy

Frequently Asked Questions about Using GenAI

Can I use the public versions of GenAI tools, like ChatGPT, Copilot, Gemini or Claude at work?

What counts as confidential information?

What counts as personally identifiable information (PII)?

Can I use GenAI with customer or supplier data?

What if I accidentally shared confidential data?

How do I know if a GenAI tool is approved?

Quiz

Survey/Feedback

Generative AI is transforming the modern workplace, offering unprecedented opportunities for innovation, creativity, and operational efficiency. However, with this great power comes significant responsibility.

Generative AI is transforming the modern workplace, offering unprecedented opportunities for innovation, creativity, and operational efficiency. However, with this great power comes significant responsibility. The 'Secure Use and Reporting of Generative AI Tools' course is meticulously designed to equip professionals with the essential knowledge needed to navigate the complex landscape of AI technologies safely and ethically. In this comprehensive guide, you will explore the fundamental differences between GenAI tools, models, LLMs, and GPTs, ensuring you have a solid foundational understanding of the technology you use every day. We will dive deep into the critical distinctions between public and private GenAI tools and how they directly impact your organization's data security and privacy.

As AI adoption accelerates globally, understanding the associated risks—ranging from internal vulnerabilities and third-party exposures to severe cybersecurity threats—is paramount. This course provides actionable strategies to mitigate these risks, emphasizing awareness, commitment, and decisive action. Furthermore, you will learn the basics of GenAI governance, including acceptable use policies, data protection, confidentiality, and accountability. By addressing frequently asked questions about handling personally identifiable information (PII) and confidential data, this course ensures you are fully prepared to use AI tools responsibly. Whether you are an employee looking to leverage AI in your daily tasks or a manager tasked with implementing AI policies, this course is your definitive guide to secure, compliant, and effective GenAI usage.

Secure Use and Reporting of Generative AI Tools

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            <p>Generative Artificial Intelligence (GenAI) has revolutionized the modern workplace, offering unprecedented opportunities for innovation, efficiency, and problem-solving. However, the rapid integration of these powerful technologies brings a complex landscape of security, privacy, and compliance challenges. As organizations increasingly rely on both public and private GenAI applications, it is critical for professionals to understand the underlying mechanics of these tools and the potential vulnerabilities they introduce. This comprehensive guide is designed to equip you with the essential knowledge required to navigate the GenAI ecosystem safely, ensuring that your use of these technologies aligns with organizational security standards and data protection protocols.</p>

<p>Throughout this course, you will explore a structured breakdown of GenAI concepts, starting with foundational definitions that clarify the differences between GenAI tools, models, Large Language Models (LLMs), and GPTs. From there, the curriculum delves into the critical distinctions between public and private GenAI platforms, highlighting internal, third-party, and cybersecurity risks. You will also review essential governance basics, including acceptable use policies, the handling of confidential and personally identifiable information (PII), and the strict protocols for accountability. By the end of this training, you will be fully prepared to take recommended actions to reduce risk, confidently identify approved tools, and know exactly how to report issues or accidental data exposures.</p>
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