Generative AI - Risk and Cyber Security Masterclass 2024 from Udemy

Generative AI is rapidly becoming an essential concept in artificial intelligence, offering incredible capabilities to simulate creativity and content generation. Tools like ChatGPT and MidJourney are changing the way industries operate. The "Generative AI - Risk and Cybersecurity Masterclass" is a comprehensive course designed to provide a deep understanding of generative AI technologies, their security risks, and the strategies needed to manage these risks effectively.

This course covers the principles, components, and best practices for designing and deploying a security model within a Generative AI system.

What You Will Learn

Fundamental principles and components of Generative AI
Understanding the risk landscape in Generative AI and its implications
Strategies for identifying, mitigating, and managing risks in Generative AI
Unique Risks like Prompt Injections, Hallucinations, Data Poisoning etc.
Techniques and guidelines for implementing a robust security architecture within Generative AI systems

Course Outline

Introduction to Generative AI
- What is Generative AI?
- Why is understanding risks and security in Generative AI important?
Risks in Generative AI
- Overview of the Generative AI risk landscape
- Detailed analysis of potential risks and their implications
- How these risks can have a real life impact
Security in Generative AI
- Implementing a security framework for Generative AI systems
- Key challenges to overcome
- Techniques to assess and improve the security posture of a Generative AI system

Who Should Take This Course

This course is designed for individuals interested in understanding and managing the risks associated with Generative AI, including:

AI practitioners
Cybersecurity professionals
Data Scientists
IT Managers
Anyone interested in learning about Generative AI and its risks

Prerequisites

This course assumes a basic understanding of AI and cybersecurity, but no prior knowledge of Generative AI is required.

Instructor

A multi-award winning, information security leader with over 20+ years of international experience in cyber-security and IT risk management in the fin-tech industry. Winner of major industry awards such as CISO of the year, CISO top

Taimur's courses on Cybersecurity and AI have thousands of students from all over the world. He has also been published in leading publications like ISACA journal, CIO Magazine Middle East and published two books on AI Security and Cloud Computing ( ranked #1 new release on Amazon )

What's inside

Learning objectives

How generative ai is a game changer for risk and security
What are the key risks in generative ai

What are the unique risks that generative ai introduces
How to secure a generative ai system

How generative ai is a game changer for risk and security
What are the key risks in generative ai
What are the unique risks that generative ai introduces
How to secure a generative ai system

Syllabus

Introduction

What is Generative AI

What are Large Language Models

Risks in Generative AI

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Explores prompt injections, hallucinations, and data poisoning, which are unique risks associated with generative AI systems and require specialized knowledge to address effectively

Provides techniques to assess and improve the security posture of a Generative AI system, enabling professionals to proactively identify and mitigate potential vulnerabilities

Assumes a basic understanding of AI and cybersecurity, suggesting that learners without this foundation may need to acquire it before taking the course

Covers threat modeling and governance checklists for AI security, which are essential for establishing robust security frameworks in organizations adopting generative AI

Examines data privacy, confidentiality, and data leakage in the context of generative AI, which are critical concerns for organizations handling sensitive information

Reviews summary

Genai risk and security insights

According to learners, this course offers a highly relevant and well-structured introduction to the risks and security considerations of Generative AI. Students consistently praise the instructor's expertise and the practical examples, particularly the prompt injection demo, for clarifying complex concepts. While many found the content clear and easy to follow, some experienced professionals noted that the course provides a good overview but lacks depth on advanced mitigation strategies. Overall, it's considered a valuable resource for those new to or needing a structured understanding of GenAI security.

Good foundation, but some seek more depth.

"Provides a `good overview` of the risk landscape but feels like it just scratches the surface on some areas."

"Could use `more in-depth` coverage on specific `mitigation strategies` and controls."

"I was hoping for `more technical detail` on implementing security measures."

"It's a great starting point, but not an exhaustive deep dive."

Clear structure and easy to follow content.

"The course has a `clear structure` and progresses logically through the topics."

"The lectures are `bite-sized` and `easy to follow`, making it easy to fit into a busy schedule."

"Appreciate the way the topics were organized, it made the learning flow smoothly."

"Content was broken down well, very `easy to understand`."

Practical examples and demos are useful.

"The `demo on Prompt Injection` was eye-opening and helped visualize the risk."

"Appreciate the `practical examples` that show real-world impact of the vulnerabilities."

"Helped me frame my thinking on `securing our AI systems` with tangible scenarios."

"The inclusion of practical demonstrations made the concepts much clearer."

Instructor is praised for expertise and clarity.

"The instructor is clearly `knowledgeable` and has real-world experience in the field."

"His explanation of complex concepts was `clear and concise`, making difficult topics accessible."

"`Instructor's experience` shines through and adds significant value to the course content."

"I appreciate the instructor's deep understanding of both AI and cybersecurity."

Covers crucial, current GenAI risks.

"The course covers the most `critical risks` facing GenAI systems today."

"`Up-to-date information` that feels highly relevant for 2024."

"This topic is `highly relevant` for anyone working in cybersecurity or AI right now."

"Great to see a course focusing specifically on `security within Generative AI`."

May be basic for experienced learners.

"This course might be `too basic` if you're already an `experienced practitioner` in AI security."

"Assumes a very `basic understanding` despite the prerequisites mentioned."

"If you're already familiar with `AI security` fundamentals, this serves more as a high-level refresher."

"Expected a bit more advanced content given the title."

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 - Risk and Cyber Security Masterclass 2024 with these activities:

Review Basic Cybersecurity Concepts

Show steps

Reinforce your understanding of fundamental cybersecurity concepts to better grasp the specific risks associated with Generative AI.

Browse courses on Cybersecurity Fundamentals

Show steps

Review common attack vectors and mitigation strategies.
Familiarize yourself with basic security frameworks.

Read 'AI and Machine Learning for Coders'

Show steps

Gain a deeper understanding of the AI technologies that underpin Generative AI to better assess and manage security risks.

View AI and Machine Learning for Coders on Amazon

Show steps

Read the chapters on neural networks and deep learning.
Experiment with the code examples provided in the book.

Develop a Threat Model for a Generative AI Application

Show steps

Apply threat modeling techniques to a Generative AI application to identify potential vulnerabilities and security risks.

Show steps

Choose a Generative AI application (e.g., chatbot, image generator).
Identify potential threat actors and their motivations.
List potential attack vectors and vulnerabilities.
Develop mitigation strategies for each identified risk.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Write a Blog Post on Prompt Injection Attacks

Show steps

Solidify your understanding of prompt injection attacks by explaining the concept and demonstrating its potential impact in a blog post.

Show steps

Research prompt injection attacks and their various forms.
Write a clear and concise explanation of the attack.
Provide examples of how prompt injection can be exploited.
Suggest mitigation strategies to prevent prompt injection.

Read 'Security Engineering' by Ross Anderson

Show steps

Gain a comprehensive understanding of security engineering principles to better address the unique security challenges posed by Generative AI.

View Security Engineering: A Guide to Building... on Amazon

Show steps

Focus on chapters related to threat modeling and risk assessment.
Consider how the principles apply to Generative AI systems.

Follow Tutorials on Securing LLMs

Show steps

Refine your skills in securing Large Language Models (LLMs) by following online tutorials and implementing security best practices.

Show steps

Search for tutorials on securing LLMs from reputable sources.
Implement the security measures described in the tutorials.
Test the effectiveness of the security measures.

Contribute to an Open Source Security Project for AI

Show steps

Deepen your understanding of Generative AI security by contributing to an open-source project focused on AI security.

Show steps

Find an open-source project related to AI security.
Identify areas where you can contribute (e.g., bug fixes, documentation).
Submit your contributions to the project.

Career center

Learners who complete Generative AI - Risk and Cyber Security Masterclass 2024 will develop knowledge and skills that may be useful to these careers:

Artificial Intelligence Security Specialist

An Artificial Intelligence Security Specialist focuses on securing AI systems, and this course is very valuable for anyone looking to move into this field. This role requires a deep understanding of the unique risks of generative AI, including prompt injections, hallucinations, and data poisoning. This course helps a prospective Artificial Intelligence Security Specialist understand how to implement a security framework for Generative AI systems. The course also includes threat modeling and governance which are critical for the work of an artificial intelligence security specialist.

See salaries and explore the career path for Artificial Intelligence Security Specialist

Risk Analyst

A Risk Analyst identifies and assesses potential risks to an organization, making this course highly relevant to anyone seeking that career. This role requires a thorough understanding of emerging risks, such as those associated with generative AI technologies. The course provides a deep dive into the risk landscape of generative AI, including challenges like prompt injections, hallucinations, and data poisoning. For a Risk Analyst, this course helps to develop strategies for identifying, mitigating, and managing risks in generative AI environments, all of which are crucial skills for the role. The course's focus on the unique risks of generative AI will be particularly beneficial.

See salaries and explore the career path for Risk Analyst

Security Architect

A Security Architect designs and oversees the implementation of security systems. This role requires a strong understanding of the technology and its risks. This course offers a deep understanding of generative AI technologies, their security risks, and strategies for managing those risks, which is perfect for a Security Architect. The course helps those in this role develop strategies for implementing a robust security architecture for generative AI. The detailed analysis of risk and techniques to improve security are directly applicable for a Security Architect.

See salaries and explore the career path for Security Architect

Data Security Engineer

A Data Security Engineer focuses on implementing security measures to protect data. This role requires a solid understanding of the risks associated with AI, particularly generative AI. This course helps provide this technical knowledge. The curriculum covers potential risks like data leakage and data poisoning, as well as how to implement security frameworks for generative AI systems. The course provides important insight on techniques to assess and improve the security posture of the system. A data security engineer will find particular value in this course for its detailed look at the unique risks associated with generative AI.

See salaries and explore the career path for Data Security Engineer

IT Risk Manager

An IT Risk Manager identifies risks associated with information technology, aligning with the focus of the course. This role involves developing strategies to mitigate these risks, which are covered at length in the course. An IT Risk Manager will learn to implement a security framework for generative AI and learn key challenges to overcome. The course will help an IT Risk Manager to develop the knowledge to address such problems. This course, with its focus on understanding the risk landscape of generative AI can be very beneficial to anyone in this field.

See salaries and explore the career path for IT Risk Manager

Cybersecurity Analyst

A Cybersecurity Analyst works to protect information and data, making this course directly relevant. This role involves identifying and assessing potential security risks, especially those related to new technologies like generative AI. The course, “Generative AI - Risk and Cybersecurity Masterclass,” covers the principles and components of generative AI, its risk landscape, and strategies for risk mitigation. A Cybersecurity Analyst will benefit from learning how to implement a robust security architecture within generative AI systems and gaining a thorough understanding of threats such as data leakage and prompt injections, which are covered in depth by this course.

See salaries and explore the career path for Cybersecurity Analyst

Information Security Analyst

An Information Security Analyst has a focus on protecting an organization's information assets. This role is highly relevant to this course. An Information Security Analyst must understand the risks associated with generative AI and learn how to secure these systems. The course outlines the principles of generative AI, its risk landscape, and the strategies for managing these risks. This course covers techniques and guidelines for implementing security architecture within generative AI systems. The unique risks discussed, like prompt injections and data poisoning, are critical for any Information Security Analyst.

See salaries and explore the career path for Information Security Analyst

Cybersecurity Consultant

A Cybersecurity Consultant advises organizations on how to manage their cybersecurity risks. This role makes the course directly relevant. This course offers a detailed understanding of the risks associated with generative AI, including prompt injections, hallucinations, and data poisoning. The course will provide the tools needed to implement a security framework for generative AI systems, which a consultant can then use to advise organizations. The course will help a cybersecurity consultant understand the challenges to overcome when implementing new technologies.

See salaries and explore the career path for Cybersecurity Consultant

Technology Risk Consultant

A Technology Risk Consultant helps organizations manage risks associated with new and existing tech. This course helps someone in this role develop a thorough understanding of the risks involved in generative AI and how to mitigate them. The course is designed to help a tech risk consultant understand the risk landscape in generative AI and its implications. This will help them identify and manage risks. This course is particularly helpful for understanding the unique risks that generative AI introduces, which are often unknown to the public.

See salaries and explore the career path for Technology Risk Consultant

AI Governance Specialist

An AI Governance Specialist focuses on the ethical and responsible use of AI. This role makes the course highly relevant. The course will help someone in this role understand the risks associated with generative AI, including potential data privacy and copyright violations as well as model bias. The course material includes an AI governance checklist, which will be directly applicable to the work of an AI Governance Specialist. The thorough treatment of potential risks and their impact makes this course useful for anyone in this role.

See salaries and explore the career path for AI Governance Specialist

Data Privacy Officer

A Data Privacy Officer (DPO) is responsible for overseeing data protection and privacy practices. This role requires an understanding of the data security risks of AI, particularly generative AI. The techniques and knowledge this course provides, concerning risks like data leakage, will be directly applicable to a DPO. The course material covers the importance of data privacy and confidentiality for generative AI, including the risk of data poisoning. For someone in a DPO role, this course will help them mitigate the risks of generative AI and implement a robust security architecture.

See salaries and explore the career path for Data Privacy Officer

Cloud Security Engineer

A Cloud Security Engineer focuses on securing cloud-based systems and data, and this course can help someone in that role. This course provides an understanding of how generative AI impacts cloud environments. The course's coverage of security frameworks and risk mitigation strategies can be very applicable for cloud security. This course helps build a foundation for handling the implementation of security and architecture within the cloud. Cloud security engineers can use the course to understand the risks of generative AI on cloud systems.

See salaries and explore the career path for Cloud Security Engineer

AI Product Manager

An AI Product Manager develops and oversees the strategy for AI-based products, and may find this course useful. This role requires understanding the risks and security implications of AI, particularly generative AI. This course covers a range of risks in generative AI. The course also outlines how to secure a generative AI system, which will help one make decisions about security. An AI product manager may find this course useful by gaining a broader perspective on the risk landscape.

See salaries and explore the career path for AI Product Manager

IT Auditor

An IT Auditor evaluates an organization's IT infrastructure and controls, which may make this course useful. This role requires a knowledge of the risks associated with new technologies. This course provides knowledge of how to secure generative AI systems, and the key challenges of doing so. IT auditors may find this course useful as it goes into significant detail about the risks present in generative AI. This knowledge will help one develop strategies for risk mitigation and management.

See salaries and explore the career path for IT Auditor

Software Developer

This course may be useful to a Software Developer who is working with AI systems. This role involves creating and maintaining software applications, and there may be times when they need to integrate or build generative AI. The course provides insight into the risks associated with generative AI like data poisoning, prompt injection, and hallucinations. Understanding these principles and components of generative AI may help a software developer take the appropriate steps in developing software and integrating AI.

See salaries and explore the career path for Software Developer

Generative AI - Risk and Cyber Security Masterclass 2024

What's inside

Learning objectives

Syllabus

Traffic lights

Save this course

Reviews summary

Genai risk and security insights

Activities

Career center

Reading list

Share

Similar courses