Artificial Intelligence brings transformative benefits but also unprecedented privacy, security, and compliance risks. Recent incidents (i.e. Samsung, McDonald’s, OpenAI, Slack) and regulatory actions show what happens when these risks are ignored. This course teaches learners to secure AI systems by implementing privacy-by-design, least privilege, DLP, and dynamic access controls and to map these controls to global regulations. Through case studies, policy drafting, and hands-on labs, learners develop the skills to assess risks, deploy controls, and respond to incidents in real AI environments. No advanced programming or AI expertise is required. All you need is basic IT/security knowledge.
Secure AI with Privacy and Access Controls
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Secure AI with Privacy and Access Controls
This course is part of multiple programs.
Instructors: Starweaver
Included with
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Intermediate level
Recommended experience
4 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Analyze real-world AI security, privacy, and access control risks to understand how these manifest in their own organizations.
Design technical controls and governance frameworks to secure AI systems, guided by free tools and industry guidelines.
Assess privacy laws' impact on AI, draft compliant policies, and tackle compliance challenges.
Skills you'll gain
- AI Security
- Security Management
- Incident Response
- Authorization (Computing)
- Cyber Governance
- Responsible AI
- Cyber Security Policies
- Data Loss Prevention
- Data Ethics
- Governance
- Security Awareness
- Threat Management
- General Data Protection Regulation (GDPR)
- Information Privacy
- Security Controls
- Personally Identifiable Information
- Data Security
- Risk Management Framework
Tools you'll learn
Details to know
Shareable certificate
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Recently updated!
February 2026
Assessments
1 assignment
Taught in English
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