Generative AI Cybersecurity & Privacy for Leaders: A Primer from Coursera

Are you ready to lead your organization into the future of cybersecurity while safeguarding privacy in an increasingly AI-driven world? This primer provides an essential foundation in generative AI, exploring its transformative potential and the specific cybersecurity and privacy risks it introduces. Learn to embrace AI’s capabilities while maintaining trust, compliance, and security in your organization.

What You'll Learn:

- Safeguard Organizational Privacy: This primer will help you understand the privacy implications of AI systems and the risks posed by data fusion across platforms.

- Address Emerging AI-Specific Threats: Develop a clear understanding of vulnerabilities like prompt injection, deepfakes, AI-enhanced phishing, and adversarial text in AI deployments.

- Build Confidence in AI Adoption: Gain the foundational tools and techniques to implement secure environments for AI development and responsible usage.

Who Is This Course For?

- Cybersecurity and Privacy Leaders: Seeking a primer to harness AI while preserving organizational integrity.

- IT Professionals: Interested in responsibly implementing AI within technical infrastructures.

Business Executives: Looking for a foundational understanding of AI integration without compromising compliance or ethics.

- Policy Makers: Aspiring to shape legislation around AI and privacy with a deep technical primer.

Why Take This Course?

Generative AI offers unmatched opportunities to enhance security and privacy, but it also brings novel challenges. From adversarial risks to complex data privacy concerns, leaders need a clear and concise primer to navigate these complexities effectively.

This course provides the essential knowledge and skills to balance innovation with protection. By the end, you’ll be empowered to lead AI initiatives that drive progress while mitigating the unique cybersecurity risks posed by generative AI. With this primer, you’ll confidently lay the groundwork for safe and responsible AI adoption.

What's inside

Syllabus

Generative AI Privacy & Security: An Individual Perspective

Generative AI Security & Prompting

Misinformation & Deepfakes

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Provides a foundational understanding of AI integration, which is essential for leaders navigating the complexities of AI-driven environments and maintaining compliance and ethics

Explores the transformative potential of generative AI, which can enhance security and privacy, offering unmatched opportunities for innovation and progress in various sectors

Addresses emerging AI-specific threats like prompt injection and AI-enhanced phishing, which are critical for developing secure environments for AI development and responsible usage

Examines vulnerabilities like adversarial text in AI deployments, which is crucial for understanding the risks posed by data fusion across platforms and AI systems

Requires learners to understand the privacy implications of AI systems, which may necessitate additional study of data protection laws and regulations in specific jurisdictions

Reviews summary

Generative ai security & privacy primer

According to learners, this course serves as a good primer on the cybersecurity and privacy risks introduced by Generative AI, especially for leaders and non-technical professionals. Students found the content on topics like prompt injection, deepfakes, and AI-enhanced phishing to be relevant and well-explained, providing a necessary foundational understanding. While many appreciated the overview, some more technical learners noted the course is less suited for practitioners seeking deep technical dives, reinforcing its positioning as a high-level introduction for decision-makers.

Provides essential knowledge, but not deep expertise.

"Provides the essential knowledge to start conversations about AI security, but you'll need more for implementation."

"It gives you the foundational tools and techniques to think about secure AI adoption."

"A solid base to build upon; clearly positioned as a primer, not an advanced course."

"I learned the core principles and risks from a leadership viewpoint."

More suitable for beginners and non-technical roles.

"As stated in the title, it's a primer, not for technical practitioners. Good for managers or policy makers."

"Those with a strong technical background might find some sections too basic."

"Ideal for business executives and policy makers; less depth for IT professionals."

"It's a great entry point into the topic, assuming no prior deep technical knowledge."

Content is presented in a clear and digestible manner.

"The course is very clear and easy to follow, making complex topics understandable."

"Content was concise and to the point, respecting the time of leaders."

"Well-structured and explained clearly, even for challenging concepts."

"I appreciated how the information was broken down into manageable sections."

Covers specific, relevant AI-specific threats effectively.

"The modules on prompt injection, deepfakes, and phishing were particularly insightful and relevant to current challenges."

"I gained a clear understanding of emerging AI threats like adversarial text."

"Very good content on specific vulnerabilities like prompt injection and misinformation."

"Helped me identify the key threats AI introduces to our systems and data."

Provides a solid foundational overview for leaders.

"This is a good primer for those in leadership positions looking to understand the landscape of GenAI security and privacy."

"Excellent overview of the key risks and considerations from a high-level perspective, perfect for executives."

"I found this course extremely valuable as a leader who needs to grasp the implications without getting lost in deep technical details."

"A well-structured introduction suitable for anyone managing teams dealing with AI technologies."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Generative AI Cybersecurity & Privacy for Leaders: A Primer with these activities:

Review Basic Cybersecurity Concepts

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Reinforce your understanding of fundamental cybersecurity principles to better grasp the AI-specific threats covered in the course.

Browse courses on Cybersecurity

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Review common attack vectors and defense mechanisms.
Familiarize yourself with key cybersecurity terminology.
Research recent data breaches and their causes.

Review 'Privacy Is Power: Why and How You Should Take Back Control of Your Data' by Carissa Véliz

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Understand the broader implications of data privacy and how it relates to AI-driven hyper-personalization and persuasion.

View Liberties Journal of Culture and Politics:... on Amazon

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Read the book's introduction and key chapters on data privacy.
Reflect on the ethical considerations of data collection and usage.
Identify practical steps to protect your own privacy.

Review 'AI and Cybersecurity' by Bradford S. Jones

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Gain a deeper understanding of the intersection of AI and cybersecurity by exploring real-world examples and case studies.

View Putting Knowledge to Work on Amazon

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Read the book's introduction and table of contents.
Focus on chapters related to AI-driven attacks and defenses.
Take notes on key concepts and examples.

Four other activities

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Practice Prompt Engineering Techniques

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Improve your ability to craft secure and effective prompts by practicing different prompt engineering techniques.

Browse courses on Prompt Engineering

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Experiment with different prompt structures and keywords.
Test prompts against various AI models.
Analyze the outputs and refine your prompts accordingly.

Write a Blog Post on Deepfakes

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Solidify your understanding of deepfakes by researching and explaining their potential impact on cybersecurity and privacy.

Browse courses on Deepfakes

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Research the latest deepfake technologies and techniques.
Outline the potential risks and consequences of deepfakes.
Write a blog post explaining deepfakes to a non-technical audience.
Include examples of real-world deepfake incidents.

Develop a Prompt Injection Detection Tool

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Apply your knowledge of prompt injection vulnerabilities by building a tool to detect and prevent them.

Browse courses on Prompt Injection

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Research prompt injection techniques and defenses.
Design an algorithm to identify malicious prompts.
Implement the algorithm in a programming language.
Test the tool against a variety of prompts.

Create a Presentation on AI Security Best Practices

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Synthesize your knowledge of AI security and privacy by creating a presentation for business executives.

Browse courses on AI Security

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Research AI security best practices for organizations.
Develop a presentation outline with key talking points.
Create visually appealing slides with clear and concise information.
Practice delivering the presentation to a test audience.

Career center

Learners who complete Generative AI Cybersecurity & Privacy for Leaders: A Primer will develop knowledge and skills that may be useful to these careers:

Chief Information Security Officer

A Chief Information Security Officer, or CISO, is responsible for overseeing an organization's information and data security. This course helps a CISO understand the specific security and privacy risks posed by generative AI, including vulnerabilities like prompt injection and deepfakes. The course's focus on building secure AI environments and understanding the privacy implications of AI systems is particularly relevant for a CISO who must lead their organization in adopting AI safely.

See salaries and explore the career path for Chief Information Security Officer

Data Privacy Officer

A Data Privacy Officer ensures that an organization handles personal data in compliance with privacy laws and regulations, and this course can help. By focusing on the privacy implications of AI systems and the risks posed by data fusion, the course is very well suited to the complex and changing demands of a Data Privacy Officer. The course's content on safeguarding organizational privacy and building confidence in AI adoption is necessary for any Data Privacy Officer to succeed today.

See salaries and explore the career path for Data Privacy Officer

Chief Technology Officer

A Chief Technology Officer, or CTO, is responsible for overseeing an organization's technological infrastructure and strategy. This course positions the CTO to understand generative AI, and the specific cybersecurity and privacy risks it introduces. The course's content on securing AI environments helps the CTO ensure that the adoption of AI technologies is both innovative and responsible. An advanced degree is often required.

See salaries and explore the career path for Chief Technology Officer

Cybersecurity Manager

A Cybersecurity Manager is a professional that oversees an organization's cybersecurity programs and strategies, and this course empowers them to do just that. The course's emphasis on emerging AI specific threats, like deepfakes and adversarial text, provides a crucial foundation for a Cybersecurity Manager to effectively address the challenges of AI. By gaining insight into secure AI development and responsible usage, students will be prepared to lead secure implementations of AI.

See salaries and explore the career path for Cybersecurity Manager

Privacy Consultant

A Privacy Consultant helps organizations develop and implement privacy policies. This course introduces the unique challenges related to privacy in the context of generative AI. The course’s discussion of data fusion, responsible usage, and compliance are beneficial for a Privacy Consultant navigating the regulatory landscape surrounding personal data. The course's focus also helps in managing privacy risks, a focus of any privacy consultant.

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IT Security Analyst

An IT Security Analyst is responsible for monitoring and protecting an organization's information systems. This course helps an IT Security Analyst understand the unique cybersecurity and privacy challenges presented by generative AI, including prompt injection and AI-enhanced phishing. The course’s content on developing secure AI environments and addressing emerging AI threats helps the IT Security Analyst effectively secure systems that incorporate AI.

See salaries and explore the career path for IT Security Analyst

Cybersecurity Policy Analyst

A Cybersecurity Policy Analyst is responsible for developing and implementing cybersecurity policies. This course helps a Cybersecurity Policy Analyst understand the security and privacy risks of generative AI. The course's lessons in AI-specific threats and secure AI environments help the Cybersecurity Policy Analyst create informed and effective policies that address emerging challenges unique to artificial intelligence.

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Artificial Intelligence Product Manager

An Artificial Intelligence Product Manager is responsible for guiding the strategy, design, and development of AI products. This course helps an Artificial Intelligence Product Manager understand the security and privacy implications of AI systems. The course's focus on addressing AI specific threats and building secure AI environments ensures that the Artificial Intelligence Product Manager integrates risk management into the product development lifecycle.

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AI Ethics Consultant

An AI Ethics Consultant advises organizations on the ethical implications of AI technologies, and this course may be useful to them. This course introduces concepts of generative AI, and how they relate to security and privacy. The course's focus on building confidence in AI adoption and mitigating privacy risks directly affects the work of an AI Ethics Consultant, who would be better prepared to advise their clients.

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Information Security Director

An Information Security Director sets the direction and manages the implementation of an organization's security strategy, and this course may be useful to them. The content of the course directly addresses the complexities of generative AI and its influence on risk management, as well as techniques for securing AI adoption. By understanding the material in this course, an Information Security Director would be more capable of leading an organization's cybersecurity program.

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Risk Management Consultant

A Risk Management Consultant helps organizations identify and mitigate potential risks, and this course may be useful to them. As generative AI introduces new security and privacy risks, the Risk Management Consultant must be prepared to evaluate the impact of this technology. The information covered in this course gives the consultant the essential knowledge to assess these AI related risks and develop strategies for minimizing harm.

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Technology Consultant

A Technology Consultant helps organizations implement new technologies, and this course may be useful to them. The consultant uses their subject matter expertise in technology, as this course provides an essential foundation in generative AI and explores its potential cybersecurity concerns. This course helps the consultant responsibly implement AI while maintaining trust, compliance, and security.

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Business Development Manager

A Business Development Manager identifies new business opportunities. This course may be useful to a Business Development Manager by offering a foundational understanding of AI integration without compromising compliance or ethics. The course's discussion on generative AI's potential for innovation while balancing risks may assist in identifying relevant market trends and potential new partnerships.

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Research Scientist

A Research Scientist, particularly those who research AI, may benefit from this course, but it is not directly correlated with the career. While a Research Scientist may not be responsible for organizational privacy, the course's discussion on the privacy implications of AI systems and the risks posed by data fusion may be useful for further research in this area. This role typically requires a PhD.

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Software Developer

A Software Developer is involved in creating, developing, and testing software. While this course is unlikely to directly improve a developer's technical skill, the course may be helpful as developers are increasingly exposed to AI integration. The course teaches about specific vulnerabilities like prompt injections and deepfakes, and that information is useful for a Software Developer that is involved with or responsible for AI.

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Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Generative AI Cybersecurity & Privacy for Leaders: A Primer.

Liberties Journal of Culture and Politics

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Explores the importance of privacy in the digital age and provides practical advice on how to protect your personal data. It offers a critical perspective on the privacy implications of AI and data collection. This book is valuable for understanding the broader societal impact of AI-driven technologies and the need for responsible data governance. It useful reference for anyone seeking to advocate for stronger privacy protections.

Liberties Journal of Culture and Politics: Volume 4...

Paperback

Putting Knowledge to Work

Save

Provides a comprehensive overview of how AI is transforming the cybersecurity landscape. It covers both the benefits of AI in enhancing security and the risks it introduces. This book is particularly useful for understanding the adversarial use of AI and developing strategies to mitigate these threats. It serves as a valuable reference for cybersecurity professionals and leaders seeking to integrate AI safely and effectively.

Putting Knowledge to Work

Paperback

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Putting Knowledge to Work

Kindle Edition

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