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AI Security and Risk Management

BasicSkill Level
4.8+
889 reviews
Updated 05/2026
Learn the fundamentals of AI security to protect systems from threats, align security with business goals, and mitigate key risks.
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TheoryArtificial Intelligence2 hr12 videos44 Exercises2,750 XP8,196Statement of Accomplishment

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Course Description

AI's potential is undeniable, but ensuring its security requires knowledge and action! Prepare to learn valuable skills with this introductory course that will empower you to identify and address key AI security challenges.

Become an AI Security Champion

This introductory course is perfect for those looking to understand AI security better and make more informed strategic decisions to protect their organization. Learn how to ensure AI security efforts match your organization's goals, and see how to connect AI security with business strategies using real-world examples.

Build Awareness and Competence

Explore AI's specific security challenges and learn the importance of examining these risks from various perspectives. We will guide you through the practical aspects of AI security, focusing on key risks associated with AI. This includes risks related to developing and using AI models and the external threats organizations face. Discover actionable practices that help reduce these risks and how to assess AI risks through detailed evaluations and daily checks.

By the end of this course, you'll know how to stay ahead in the fast-changing world of AI, keeping yourself and your organization safe.

Prerequisites

There are no prerequisites for this course
1

AI's Security Landscape

The purpose of this chapter is to establish a strategic understanding of AI security, identify the unique security risks associated with AI, examine how AI can be a security change agent, and consider the need to treat all players equally.
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2

Risk Management Fundamentals

This chapter focuses on the operational side of AI security and risk management, diving deeper into different types of risks, secure development practices, and risk assessment. We will first examine risks broken down by internal and external risk categories and then learn about practices aimed at mitigating them.
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3

Strategic Integration of AI Security

Bringing AI security into alignment with organizations' strategic goals is the focus of this chapter. It covers the importance of connecting security efforts to tangible business value, ensuring security isn't an afterthought but a strategic asset. In addition, it talks about the importance of fostering a security-aware culture within an organization and the importance of keeping up to date with evolving risks and opportunities in the constantly changing world of AI.
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AI Security and Risk Management
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*4.8
from 889 reviews
83%
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FAQs

Do I need a technical background to take this AI security course?

No. This is a beginner-level theory course with no prerequisites. It is designed for professionals in any role who want to understand how to protect AI systems.

What risk categories does the course break down?

You will examine internal and external risk categories, learn secure development practices for each, and practice risk assessment methods to identify and prioritize threats to AI systems.

How does the course connect AI security to business strategy?

Chapter 3 focuses on aligning security efforts with business goals so that AI security becomes a strategic asset rather than an afterthought in organizational planning.

Will I learn about fostering a security-aware culture?

Yes. The final chapter covers how to build a security-aware culture within an organization and the importance of staying current with evolving AI risks and opportunities.

How is the course structured and how long does it take?

It has 3 chapters and 44 exercises with a median completion time of about 1 hour. Topics progress from the security landscape to risk management to strategic integration.

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