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
通过 Coursera Plus 提高技能，仅需 239 美元/年（原价 399 美元）。立即节省
您将学到什么
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.
您将获得的技能
- Governance
- Security Management
- Security Controls
- Data Security
- Data Ethics
- Data Loss Prevention
- Authorization (Computing)
- Responsible AI
- General Data Protection Regulation (GDPR)
- Cyber Security Policies
- Security Awareness
- Information Privacy
- Personally Identifiable Information
- Cyber Governance
- Threat Management
- Risk Management Framework
- AI Security
- Incident Response
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February 2026
作业
1 项作业
授课语言：英语（English）
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