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URL: https://www.coursera.org/learn/secure-ai-with-privacy-and-access-controls

⇱ Secure AI with Privacy and Access Controls | Coursera

Secure AI with Privacy and Access Controls

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Secure AI with Privacy and Access Controls

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

4 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
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.

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Recently updated!

February 2026

Assessments

1 assignment

Taught in English

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There are 3 modules in this course

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.

This module examines the security and compliance challenges of generative AI, using real-world cases like data breaches and prompt injection attacks. Learners practise incident response, risk classification, and remediation strategies, explore key privacy laws and frameworks, and gain skills to identify, mitigate, and prevent AI risks while ensuring organizational compliance and resilience in AI adoption.

What's included

4 videos2 readings1 peer review

4 videos•Total 24 minutes
  • Welcome to the Course•3 minutes
  • Introduction to AI Security and Privacy Risks•6 minutes
  • Understanding AI Security and Privacy Regulations•6 minutes
  • Real-World AI Security Incidents•8 minutes
2 readings•Total 10 minutes
  • Welcome to the Course: Course Overview•5 minutes
  • About the ISO/IEC 42001 and the AI Risk Management Framework•5 minutes
1 peer review•Total 20 minutes
  • Hands-On-Learning: AI Data Leak Risk Assessment and Remediation Planning•20 minutes

This module provides a comprehensive overview of AI agent access control in healthcare, focusing on RBAC, ABAC, policy-as-code, and privacy-enhancing technologies. Participants learn to configure secure policies, protect sensitive data, monitor threats, and apply real-world privacy solutions, culminating in hands-on development, deployment, and documentation of robust security and compliance controls for AI systems.

What's included

3 videos1 reading1 peer review

3 videos•Total 31 minutes
  • Privacy-Enhancing Technologies and Data Protection•7 minutes
  • Dynamic Access Control and Authorization in AI•12 minutes
  • Continuous Monitoring, Incident Response, and Insider Threats•12 minutes
1 reading•Total 10 minutes
  • Organization for Economic Cooperation and Development: Privacy Enhancing Technologies•10 minutes
1 peer review•Total 20 minutes
  • Hands-On-Learning: Secure AI Agent Deployment in Healthcare•20 minutes

This module prepares learners for AI compliance and security audits through interactive scenarios, governance frameworks, and practical tools. It covers policy drafting, audit readiness, evidence management, and secure AI deployment. Learners gain skills in risk assessment, regulatory gap analysis, and ethical governance, equipping them to navigate evolving AI compliance and security challenges in regulated industries.

What's included

4 videos1 reading1 assignment2 peer reviews

4 videos•Total 26 minutes
  • Building AI Governance Frameworks and Policies•6 minutes
  • Using Microsoft Purview for AI Compliance•12 minutes
  • Emerging Trends and Continuous Improvement•6 minutes
  • Course Wrap-up Video •3 minutes
1 reading•Total 5 minutes
  • 11 Steps for Performing a Workplace Generative AI Audit•5 minutes
1 assignment•Total 20 minutes
  • Secure AI with Privacy & Access Controls•20 minutes
2 peer reviews•Total 80 minutes
  • Hands-On-Learning: AI Audit Readiness and Compliance Roadmap•20 minutes
  • Project: Secure AI Implementation for a Financial Services Firm•60 minutes

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