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AI Security and Risk Management

Learn the fundamentals of AI security to protect systems from threats, align security with business goals, and mitigate key risks.

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2 Hours12 Videos44 Exercises

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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.
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  1. 1

    AI's Security Landscape

    Free

    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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    Security risks specific to AI
    50 xp
    AI risk awareness
    50 xp
    Dinner at Riskland Junction
    100 xp
    AI as a change agent for security
    50 xp
    Enhancing security operations with AI
    50 xp
    Risks of AI in security
    50 xp
    Security Catalyst Station
    100 xp
    The AI security ecosystem
    50 xp
    The importance of multiple viewpoints
    50 xp
    Balancing stakeholder interests
    50 xp
    Ecosystem Nexus
    100 xp
  2. 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. 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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Collaborators

Collaborator's avatar
Jordan Beecher
Collaborator's avatar
Joe Franklin
Angeline Corvaglia HeadshotAngeline Corvaglia

Digital transformation specialist, founder of Data Girl

Angeline Corvaglia is a highly experienced senior executive. She has led numerous digital transformation initiatives, with the largest involving 17 countries and 350 legal entities. Her expertise has been instrumental in driving financial success and streamlining operations. She has now founded a company that is dedicated to empowering the next generation of leaders through increased AI literacy and data security know-how. With her animated series Data Girl and Friends, she helps shape the future of our digital world.
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