Social Engineering With Genai (Generative Ai)
Social Engineering With Genai (Generative Ai)
Published 6/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 833.32 MB | Duration: 1h 56m
Learn How GenAI can be used for social engineering and how to defend from social engineering attacks created by GenAI
What you'll learn
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
Requirements
Basic understanding of Technology
Basic Understanding of Risk and Security
No prior understanding of AI needed
Description
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 LearnFundamental 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 OutlineIntroduction to Social Engineering and GenAIWhat is Social Engineering?How Generative AI is revolutionizing social engineering tacticsImportance of defending against GenAI-driven social engineering attacksIdentifying and Analyzing GenAI-Driven Social Engineering AttacksOverview of social engineering techniquesDetailed analysis of GenAI-facilitated attacksDefensive Strategies Against GenAI Social EngineeringSecurity best practices and toolsDeveloping policies and training programsEnhancing awareness and resilienceWho Should Take This CourseThis course is designed for individuals interested in understanding and defending against social engineering attacks facilitated by Generative AI, including:Cybersecurity professionalsIT ManagersAI practitionersSecurity AnalystsAnyone interested in learning about GenAI and its implications in social engineeringPrerequisitesThis course assumes a basic understanding of AI and cybersecurity, but no prior knowledge of Generative AI or social engineering is required.InstructorTaimur 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 30, CISO Top 50, and Most Outstanding Security Team. 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).
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Overview of Generative AI
Lecture 3 What Is Social Engineering
Section 2: Social Engineering with GenAI
Lecture 4 How GenAI is changing Social Engineering
Lecture 5 GenAI Powered Phishing Attacks
Lecture 6 GenAI Malicous ChatBots
Lecture 7 DeepFake Attacks
Lecture 8 How To Protect Against DeepFakes - 1
Lecture 9 How To Protect Against DeepFakes - 2
Lecture 10 GenAI Vishing Attacks
Lecture 11 GenAI Disinformation Attacks
Section 3: Creating a GenAI Social Engineering Awareness Program
Lecture 12 Creating A GenAI Social Engineering Awareness Program
Section 4: Conclusion
Lecture 13 Next Steps
Cybersecurity professionals,CISOs , CTOs and CROs,Risk Management Professionals,Anti-Fraud Professionals,AI Professionals,Anyone interested in GenAI
![Social Engineering With Genai (Generative Ai)]()
What you'll learn
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
Requirements
Basic understanding of Technology
Basic Understanding of Risk and Security
No prior understanding of AI needed
Description
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 LearnFundamental 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 OutlineIntroduction to Social Engineering and GenAIWhat is Social Engineering?How Generative AI is revolutionizing social engineering tacticsImportance of defending against GenAI-driven social engineering attacksIdentifying and Analyzing GenAI-Driven Social Engineering AttacksOverview of social engineering techniquesDetailed analysis of GenAI-facilitated attacksDefensive Strategies Against GenAI Social EngineeringSecurity best practices and toolsDeveloping policies and training programsEnhancing awareness and resilienceWho Should Take This CourseThis course is designed for individuals interested in understanding and defending against social engineering attacks facilitated by Generative AI, including:Cybersecurity professionalsIT ManagersAI practitionersSecurity AnalystsAnyone interested in learning about GenAI and its implications in social engineeringPrerequisitesThis course assumes a basic understanding of AI and cybersecurity, but no prior knowledge of Generative AI or social engineering is required.InstructorTaimur 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 30, CISO Top 50, and Most Outstanding Security Team. 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).
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Overview of Generative AI
Lecture 3 What Is Social Engineering
Section 2: Social Engineering with GenAI
Lecture 4 How GenAI is changing Social Engineering
Lecture 5 GenAI Powered Phishing Attacks
Lecture 6 GenAI Malicous ChatBots
Lecture 7 DeepFake Attacks
Lecture 8 How To Protect Against DeepFakes - 1
Lecture 9 How To Protect Against DeepFakes - 2
Lecture 10 GenAI Vishing Attacks
Lecture 11 GenAI Disinformation Attacks
Section 3: Creating a GenAI Social Engineering Awareness Program
Lecture 12 Creating A GenAI Social Engineering Awareness Program
Section 4: Conclusion
Lecture 13 Next Steps
Cybersecurity professionals,CISOs , CTOs and CROs,Risk Management Professionals,Anti-Fraud Professionals,AI Professionals,Anyone interested in GenAI
