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AI Security and Risk Management

4.8(1,111) on DataCamp
Beginner 1 hours English Course Certificate
SkillsAI securityRisk managementModel riskAI governanceSecure AI developmentMonitoring

Is this course right for you?

Our take
DataCamp tackles the security problems specific to AI systems here — the ones general security training doesn't cover.

Good for: Understanding the security and risk challenges specific to AI.

Skip if: You want general security, or deep technical AI-security engineering.

It works through the risks models introduce and why they need continuous monitoring, the external threats AI systems face, secure AI development, and frameworks for assessing AI risk. That AI-specific angle is exactly the point: AI fails in ways traditional software doesn't — models drift, get manipulated, or leak training data — and this is a timely, accessible orientation for people building or governing AI who need to reason about those distinct risks. It's the wrong course for general security, or for deep technical AI-security engineering. You'll need DataCamp's subscription (about $14/month billed annually, first chapter free), with a completion certificate that records what you completed rather than certifying it. AI security moves fast, so treat specific threats and frameworks as a snapshot (as of 2026).

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About this course

AI Security and Risk Management addresses security challenges specific to AI systems: model risks (and the need for continuous monitoring), external threats, secure AI development practices, and risk assessment frameworks including the EU AI Act. It closes by connecting AI security to business strategy — treating it as a strategic asset rather than a technical afterthought — and building a security-aware culture.

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Instructor

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Instructor
DataCamp instructor

Taught by DataCamp's AI and security curriculum team.

Frequently asked questions

AI systems face risks ordinary software does not — like adversarial attacks that fool models, data poisoning, model theft, prompt injection, and privacy leakage from training data — alongside familiar security concerns. This course covers those AI-specific risks and how to manage them. So it is about securing and governing AI systems and their unique vulnerabilities, which is an emerging discipline distinct from general cybersecurity.

Moderately. From DataCamp, it leans toward concepts and risk management around AI security rather than deep hands-on exploitation, though it assumes some familiarity with AI and data. It suits people needing to understand and manage AI risk — analysts, security-minded professionals, or those governing AI — more than complete beginners. It is more conceptual and risk-focused than a hands-on offensive-security course.

People responsible for or interested in the security and governance of AI systems — security professionals, data and AI practitioners, and risk or compliance staff working with AI. It assumes some AI or data grounding, so it suits those already in or near the field rather than complete newcomers, who would benefit from AI and security fundamentals first.

Partly. DataCamp's free tier gives you the first chapter, and there is usually a full-access free-trial week, but completing the course requires a Premium subscription (around 25 US dollars a month). So you can sample the opening material free, but finishing it and accessing the wider catalogue is a paid subscription.

Yes — you get a DataCamp statement of accomplishment for the course. Treat it as a marker of effort rather than a formal credential; AI-security roles value demonstrable understanding and, often, recognised security certifications. The genuine value is grasping how to identify and manage AI-specific risks, which is an increasingly important and emerging area, more than the certificate itself.
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