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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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Kursbeschreibung

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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In den folgenden Tracks

Künstliche Intelligenz (KI) Leadership

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  1. 1

    AI's Security Landscape

    Kostenlos

    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.

    Kapitel Jetzt Abspielen
    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.

    Kapitel Jetzt Abspielen
    Model risks
    50 xp
    Common risks of AI models
    50 xp
    Continuous monitoring
    50 xp
    Model Risk Abyss
    100 xp
    External risks in AI
    50 xp
    Types of external risks
    50 xp
    Keeping up with external AI risks
    50 xp
    Perimeter Peril Point
    100 xp
    Secure development practices
    50 xp
    Secure AI development
    50 xp
    Secure access
    50 xp
    Fortified Code Forge
    100 xp
    AI risk assessment frameworks
    50 xp
    The EU AI Act
    50 xp
    Risk assessment steps
    50 xp
    Assessment Framework Enclave
    100 xp
  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.

    Kapitel Jetzt Abspielen
    From insights to action
    50 xp
    Risk appetite
    50 xp
    Balancing innovation and security
    50 xp
    General Landora Implementor
    100 xp
    Aligning with organizational goals
    50 xp
    Connecting security with business goals
    50 xp
    Health care versus social media
    50 xp
    Alignment Avenue
    100 xp
    A security-aware culture
    50 xp
    Responsible for identifying risks
    50 xp
    Role of data science team in security
    50 xp
    Culture Citadel
    100 xp
    AI security for the future
    50 xp
    Staying up-to-date
    50 xp
    It takes a village
    50 xp
    Throne of Stagnation
    100 xp
    Wrap-up: AI Security and Risk Management
    50 xp
Für Unternehmen

Trainierst du 2 oder mehr?

Verschaffen Sie Ihrem Team Zugriff auf die vollständige DataCamp-Plattform, einschließlich aller Funktionen.

In den folgenden Tracks

Künstliche Intelligenz (KI) Leadership

Gehe zu Track

Mitwirkende

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

Digital transformation specialist, founder of Data Girl

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