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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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.
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.
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.
For Business
Training 2 or more people?
Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and moreIn the following Tracks
Artificial Intelligence (AI) Leadership
Go To Track- 1
AI's Security Landscape
FreeThe 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.
Security risks specific to AI50 xpAI risk awareness50 xpDinner at Riskland Junction100 xpAI as a change agent for security50 xpEnhancing security operations with AI50 xpRisks of AI in security50 xpSecurity Catalyst Station100 xpThe AI security ecosystem50 xpThe importance of multiple viewpoints50 xpBalancing stakeholder interests50 xpEcosystem Nexus100 xp - 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.
Model risks50 xpCommon risks of AI models50 xpContinuous monitoring50 xpModel Risk Abyss100 xpExternal risks in AI50 xpTypes of external risks50 xpKeeping up with external AI risks50 xpPerimeter Peril Point100 xpSecure development practices50 xpSecure AI development50 xpSecure access50 xpFortified Code Forge100 xpAI risk assessment frameworks50 xpThe EU AI Act50 xpRisk assessment steps50 xpAssessment Framework Enclave100 xp - 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.
From insights to action50 xpRisk appetite50 xpBalancing innovation and security50 xpGeneral Landora Implementor100 xpAligning with organizational goals50 xpConnecting security with business goals50 xpHealth care versus social media50 xpAlignment Avenue100 xpA security-aware culture50 xpResponsible for identifying risks50 xpRole of data science team in security50 xpCulture Citadel100 xpAI security for the future50 xpStaying up-to-date50 xpIt takes a village50 xpThrone of Stagnation100 xpWrap-up: AI Security and Risk Management50 xp
For Business
Training 2 or more people?
Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and moreIn the following Tracks
Artificial Intelligence (AI) Leadership
Go To TrackCollaborators
Angeline Corvaglia
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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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