
Discover how generative ai reshapes social engineering and learn security controls and a holistic program to protect your organization from ai-powered attacks.
Generative AI creates content—text, images, video, music, and code—by learning from data and prompts, while driving productivity, raising security and risk considerations, and setting the stage for social engineering threats.
Discover what social engineering is, from phishing to whaling, baiting, vishing, and smishing, and how generative AI reshapes these attacks. Build defenses with awareness, training, strong authentication, and phishing drills.
GenAI reshapes social engineering by enabling highly personalized phishing, deepfake impersonations, and voice cloning, expanding the threat landscape for traditional attacks.
Explore how generative AI powers phishing attacks at industrial scale, crafting multilingual, authentic emails. Learn defense with AI-driven email protection, DMARC/DKIM/SPF, MFA, and advanced phishing simulations.
Generative AI amplifies malicious chatbots for social engineering, enabling large-scale phishing, malware creation, and romance scams trained on dark web data; practice defenses with AI-powered simulations.
Discover how deepfakes, enabled by generative ai, drive sophisticated social engineering through realistic audio, video, and images, eroding trust and enabling impersonation and financial fraud.
Explore real-world deepfake attacks by fake IT workers infiltrating tech companies and learn practical detection and defense strategies to protect human resources processes.
Protect against deepfake threats by combining technical controls with ongoing awareness training, including MFA for virtual meetings, liveness checks, and real-time AI-based detection tools.
This lecture shows how to protect against deepfakes by augmenting security awareness and training employees with free resources from Sans and a Northwestern Kellogg image-based training.
Expose GenAI vishing that uses voice cloning to impersonate loved ones or executives. Defend with AI-driven synthetic-content detection, trusted numbers, code words, phishing simulations, and metadata monitoring for defense-in-depth.
Expose GenAI disinformation attacks and teach defense through proactive AI monitoring, crisis communications, and reputation protection, with employee training and verification to defend trust.
Create a GenAI social engineering awareness program featuring mandatory training, simulations, department-specific modules, AI-driven detection, threat intelligence, and incident response planning.
Learn to defend against AI-powered social engineering by understanding the evolving threat, implementing detection tools, and strengthening your organization's awareness programs.
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 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).