[100% Off] Social Engineering With Generative Ai (Genai)

Mastering Social Engineering with GenAI: Safeguard Against AI-Driven Cyber Threats

What you’ll learn

  • Identify and defend against AI-driven social engineering attacks.
  • Recognize deepfakes and AI-generated phishing attempts.
  • Apply strategies to mitigate AI-based cybersecurity threats.
  • Analyze real-world GenAI case studies to enhance security measures.

Requirements

  • Basic understanding of cybersecurity concepts is recommended but not required.

Description

In the rapidly evolving world of cybersecurity, Generative AI (GenAI) is becoming a powerful tool for both attackers and defenders. Our course, “Social Engineering with Generative AI (GenAI),” is designed to help you stay ahead of these cutting-edge threats by understanding how cybercriminals are using GenAI to carry out sophisticated social engineering attacks. These attacks include creating convincing deepfake videos, launching AI-powered phishing campaigns, and spreading targeted misinformation. As these technologies advance, the risk they pose to organizations increases, making it essential to learn how to recognize, prevent, and respond to these new types of cyber threats.

Throughout this course, you’ll gain a deep understanding of how GenAI is being leveraged to manipulate human behavior and breach security systems. We’ll examine real-world case studies where GenAI has been used to exploit vulnerabilities, disrupt operations, and cause financial harm. By studying these examples, you’ll learn the latest tools and techniques cybercriminals use and how to protect your organization against them.

Whether you’re an IT professional, cybersecurity expert, or business leader, this course offers practical, actionable insights that you can implement immediately. You’ll learn how to enhance your security posture and stay ahead of cybercriminals who are using GenAI to reshape the landscape of social engineering attacks. Take the next step in mastering defense against AI-driven threats by enrolling today.
Author(s): Dr. Amar Massoud
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