Social Engineering With Generative AI - Learn How To Defend 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 "Social Engineering with GenAI " course is designed to provide a deep understanding of how generative AI technologies can be exploited for social engineering attacks and the strategies needed to defend against these sophisticated threats.

This course covers the principles, components, and best practices for identifying, analyzing, and mitigating social engineering attacks driven by Generative AI.

What You Will Learn

Fundamental principles and components of Social Engineering and GenAI: Understand the basics of social engineering and how Generative AI can be used in these attacks.
Identifying GenAI-driven social engineering attacks: Learn to recognize and analyze attacks facilitated by GenAI, supported by real-world examples and case studies.
Defensive strategies against GenAI social engineering: Implement effective defense mechanisms, best practices, and training programs to enhance resilience against these threats.

Course Outline

Introduction to Social Engineering and GenAI

What is Social Engineering?
How Generative AI is revolutionizing social engineering tactics
Importance of defending against GenAI-driven social engineering attacks

Identifying and Analyzing GenAI-Driven Social Engineering Attacks

Overview of social engineering techniques
Detailed analysis of GenAI-facilitated attacks

Defensive Strategies Against GenAI Social Engineering

Security best practices and tools
Developing policies and training programs
Enhancing awareness and resilience

Who Should Take This Course

This course is designed for individuals interested in understanding and defending against social engineering attacks facilitated by Generative AI, including:

Cybersecurity professionals
IT Managers
AI practitioners
Security Analysts
Anyone interested in learning about GenAI and its implications in social engineering

Prerequisites

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

Instructor

Taimur Ijlal is 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 has published two books on AI Security and Cloud Computing (ranked #1 new release on Amazon).

What's inside

Learning objectives

Understand the basics of social engineering with genai
Understand how the threat landscape has changed due to genai

Create a genai social engineering awareness program
Identify and analyze genai driven social engineering attacks like deepfakes

Understand the basics of social engineering with genai
Understand how the threat landscape has changed due to genai
Create a genai social engineering awareness program
Identify and analyze genai driven social engineering attacks like deepfakes

Syllabus

Introduction

Overview of Generative AI

What Is Social Engineering

Social Engineering with GenAI

How GenAI is changing Social Engineering

GenAI Powered Phishing Attacks

GenAI Malicous ChatBots

DeepFake Attacks

How To Protect Against DeepFakes - 1

How To Protect Against DeepFakes - 2

GenAI Vishing Attacks

GenAI Disinformation Attacks

Creating a GenAI Social Engineering Awareness Program

Creating A GenAI Social Engineering Awareness Program

Conclusion

Next Steps

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 Social Engineering With Generative AI - Learn How To Defend with these activities:

Review Cybersecurity Fundamentals

Show steps

Reinforce your understanding of core cybersecurity concepts to better grasp the nuances of GenAI-driven social engineering attacks.

Browse courses on Cybersecurity Fundamentals

Show steps

Review basic networking concepts.
Study common attack vectors.
Familiarize yourself with security protocols.

Review 'Social Engineering: The Science of Human Hacking'

Show steps

Gain a deeper understanding of traditional social engineering tactics, which are now being amplified by generative AI.

View Human Hacking on Amazon

Show steps

Read the book's introduction and key chapters.
Take notes on the different social engineering techniques.
Reflect on how these techniques can be applied using GenAI.

Create a Presentation on Deepfake Detection

Show steps

Solidify your understanding of deepfakes and detection methods by creating a presentation that you can share with others.

Show steps

Research current deepfake detection techniques.
Compile your findings into a concise presentation.
Practice delivering the presentation.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Simulate GenAI-Powered Phishing Scenarios

Show steps

Practice identifying and responding to phishing attempts crafted using generative AI to improve your defensive skills.

Show steps

Use GenAI tools to create realistic phishing emails.
Analyze the emails for red flags and inconsistencies.
Document your findings and identify areas for improvement.

Develop a GenAI Social Engineering Awareness Program

Show steps

Apply your knowledge by designing a comprehensive awareness program to educate others about the risks of GenAI-driven social engineering.

Show steps

Define the target audience and learning objectives.
Create engaging content, such as videos and quizzes.
Implement the program and track its effectiveness.

Read 'AI and Security'

Show steps

Gain a deeper understanding of the security implications of AI, including how it can be exploited for social engineering.

View Artificial Intelligence (AI) Governance and... on Amazon

Show steps

Read the book's relevant chapters on AI security threats.
Take notes on the defensive strategies discussed.
Reflect on how these strategies can be applied to GenAI-driven social engineering.

Contribute to a Deepfake Detection Project

Show steps

Enhance your skills by contributing to an open-source project focused on detecting and mitigating deepfakes.

Show steps

Identify an open-source deepfake detection project.
Contribute code, documentation, or testing efforts.
Collaborate with other developers and researchers.

Career center

Learners who complete Social Engineering With Generative AI - Learn How To Defend will develop knowledge and skills that may be useful to these careers:

Security Awareness Trainer

A security awareness trainer develops and delivers programs to educate employees about cybersecurity threats and best practices. The course helps in creating a GenAI social engineering awareness program and enhances understanding of how generative AI is changing social engineering tactics. This is particularly valuable for a security awareness trainer, who needs to stay updated on the latest threats and defense methods. The course teaches about GenAI powered phishing attacks, malicious chatbots, deepfake attacks, GenAI vishing attacks, and GenAI disinformation attacks, all of which are relevant to training content.

See salaries and explore the career path for Security Awareness Trainer

Cybersecurity Analyst

A cybersecurity analyst monitors and protects an organization's systems and networks from cyber threats. This course helps a cybersecurity analyst by providing a deep understanding of how generative AI technologies can be exploited for social engineering attacks. The course covers identifying and analyzing GenAI driven social engineering attacks, such as deepfakes, which are crucial for a cybersecurity analyst to recognize and defend against. In particular, the course's focus on attack analysis and defensive strategies is in alignment with the daily responsibilities of a cybersecurity analyst.

See salaries and explore the career path for Cybersecurity Analyst

Threat Intelligence Analyst

A threat intelligence analyst gathers and analyzes information about potential cyber threats to an organization. This course supports a threat intelligence analyst by providing insights into how generative AI can be used in social engineering attacks. The course's content on identifying and analyzing GenAI driven social engineering attacks helps a threat intelligence analyst better understand the evolving threat landscape and develop more effective defense strategies. The course's syllabus on GenAI powered phishing attacks, malicious chatbots, deepfake attacks, and GenAI vishing attacks is particularly relevant to this role.

See salaries and explore the career path for Threat Intelligence Analyst

Information Security Manager

An information security manager is responsible for developing and implementing an organization's information security policies and procedures. This course supports an information security manager by providing a comprehensive understanding of how generative AI is revolutionizing social engineering tactics and the strategies needed to defend against these threats. The course's materials on developing policies and training programs are directly applicable to the responsibilities of an information security manager.

See salaries and explore the career path for Information Security Manager

AI Security Engineer

An AI security engineer focuses on securing AI systems and algorithms against adversarial attacks. This course helps an AI security engineer by providing a deep understanding of how generative AI can be exploited for social engineering attacks and the strategies needed to defend against these threats. The course's content on identifying and analyzing GenAI driven social engineering attacks, such as deepfakes and malicious chatbots, is highly relevant to an AI security engineer's work in securing AI systems.

See salaries and explore the career path for AI Security Engineer

Chief Information Security Officer

A chief information security officer is responsible for an organization's overall cybersecurity strategy. The course supports a chief information security officer by providing a comprehensive understanding of how generative AI is revolutionizing social engineering tactics and the strategies needed to defend against these threats. The course's materials on developing policies and training programs are directly applicable to the responsibilities of a chief information security officer. The course's exploration of how the threat landscape has changed due to generative AI is also valuable for strategic planning.

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

Security Consultant

Security consultants advise organizations on how to improve their cybersecurity posture. The course supports security consultants by offering the ability to provide expert guidance on defending against GenAI driven social engineering attacks. The course's coverage of identifying and analyzing GenAI facilitated attacks, coupled with best practices and tools, equips a security consultant to offer valuable recommendations to clients. The course's focus on developing policies and training programs also allows a security consultant to guide organizations in building a strong security culture.

See salaries and explore the career path for Security Consultant

IT Risk Manager

An IT risk manager identifies and assesses potential risks to an organization's IT systems and data. This course helps an IT risk manager by providing insights into how generative AI can be used in social engineering attacks, enabling them to better assess the risks associated with these emerging threats. The course's content on defensive strategies against GenAI social engineering, including security best practices and tools, is helpful for developing risk mitigation strategies.

See salaries and explore the career path for IT Risk Manager

Application Security Engineer

An application security engineer ensures applications are secure from vulnerabilities. This course helps an application security engineer by providing insights into how generative AI can be exploited through malicious chatbots. Understanding how such chatbots may compromise applications is invaluable. The course's coverage of defensive strategies helps application security engineers to devise effective security measures. The course's exploration of the changing threat landscape due to GenAI is also valuable.

See salaries and explore the career path for Application Security Engineer

Network Security Engineer

A network security engineer is responsible for securing an organization's network infrastructure. The course may be useful for a network security engineer, as it provides insights into how generative AI can be used in phishing attacks. The course's content on defensive strategies against GenAI social engineering, including security best practices and tools, is helpful for developing risk mitigation strategies. The course's exploration of identifying and analyzing GenAI facilitated attacks informs the network security engineer about potential attack vectors.

See salaries and explore the career path for Network Security Engineer

Data Privacy Officer

A data privacy officer ensures an organization complies with data privacy laws and regulations. The course may be useful for a data privacy officer, as it provides insights into how generative AI can be used in disinformation attacks and deepfakes, which can have significant implications for data privacy. The course's content on developing policies and training programs may also assist a data privacy officer in implementing privacy awareness initiatives.

See salaries and explore the career path for Data Privacy Officer

Penetration Tester

A penetration tester simulates cyberattacks to identify vulnerabilities in an organization's systems. The course may be useful for a penetration tester, as it provides insights into how generative AI can be used in social engineering attacks. The course's content on identifying and analyzing GenAI facilitated attacks can assist a penetration tester in developing new attack scenarios.

See salaries and explore the career path for Penetration Tester

Security Architect

A security architect designs and implements security systems for an organization. The course may be useful for a security architect, as it provides insights into how generative AI can be used in social engineering attacks. The course's content on defensive strategies against GenAI social engineering, including security best practices and tools, is helpful for designing secure systems.

See salaries and explore the career path for Security Architect

Digital Forensics Analyst

A digital forensics analyst investigates cybercrimes and analyzes digital evidence. The course may be useful for a digital forensics analyst, as it provides insights into how generative AI can be used in social engineering attacks, which can be relevant in cybercrime investigations. The course's content on identifying and analyzing GenAI facilitated attacks can assist a digital forensics analyst in understanding the techniques used by cybercriminals.

See salaries and explore the career path for Digital Forensics Analyst

Cloud Security Engineer

A cloud security engineer secures cloud-based systems and data. The course may be useful for a cloud security engineer, as it provides insights into how generative AI can be used in social engineering attacks, which can target cloud environments. The course's content on defensive strategies against GenAI social engineering, including security best practices and tools, is helpful for developing security measures for cloud systems.

See salaries and explore the career path for Cloud Security Engineer

Social Engineering With Generative AI - Learn How To Defend

What's inside

Learning objectives

Syllabus

Save this course

Activities

Career center

Reading list

Share

Similar courses