Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Impact of Generative AI on Cyber Security
Role Play
Rating: 4.5 out of 5(4,718 ratings)
24,165 students

Impact of Generative AI on Cyber Security

Code, Chaos, and Cyber Shields - A silent battle.
Last updated 5/2026
English

What you'll learn

  • Understanding of Generative AI
  • Generative AI Security Risks
  • Generative AI Security Risks
  • Case Studies
  • Future Trends
  • Ethical Considerations
  • Practical Skills
  • Thought Leadership
  • Preparation Strategies

Course content

9 sections51 lectures2h 50m total length
  • Understanding Generative AI9:35
  • Real-world examples5:39
  • The Role of Thought Leaders in Driving Innovation and Adoption4:58
  • Cyber Security 2024 Forecast1:46
  • Introduction to Generative AI and Cybersecurity Transfromation-Quiz
  • Presenting a Cybersecurity Strategy Involving Generative AI to a Concerned Executive

Requirements

  • Basic Cybersecurity Knowledge
  • Familiarity with AI and Machine Learning
  • Time Commitment

Description

In our rapidly advancing digital world, Generative Artificial Intelligence (Generative AI) has emerged as both a revolutionary innovation and a formidable challenge for cybersecurity professionals. This course, Cybersecurity in the World of Generative AI, provides a deep and structured exploration into the intersection of AI and cybersecurity, offering the tools, insights, and strategies needed to defend against emerging AI-driven threats.

Whether you're a cybersecurity professional, AI practitioner, IT leader, ethical hacker, student, or simply intrigued by the synergy between cybersecurity and artificial intelligence, this course will empower you to stay ahead of the curve.

What You'll Learn

1. Understanding Generative AI

  • The foundations and types of Generative AI models (e.g., GPT, DALL·E, StyleGAN)

  • Core use cases across industries — text generation, image synthesis, code generation, deepfakes

  • How these models function and why they matter to cybersecurity

2. Generative AI Security Risks

  • Disinformation campaigns powered by AI-generated content

  • Synthetic identity creation and social engineering

  • Weaponization of generative models for phishing, impersonation, and malware evasion

3. Defensive Mechanisms

  • Building and implementing anomaly detection systems

  • Threat modeling tailored to Generative AI threats

  • Red-teaming techniques for AI-enabled environments

  • Tools and frameworks to secure AI pipelines and outputs

4. Real-world Case Studies

  • In-depth analysis of security incidents involving Generative AI

  • Lessons learned from organizations impacted by AI-driven threats

  • Examples of AI assisting in both offensive and defensive cybersecurity

5. Future Trends

  • Emerging AI security tools and countermeasures

  • Evolving attacker techniques in the AI arms race

  • The role of AI in autonomous security systems

6. Ethical Considerations

  • Responsible AI development and deployment

  • Navigating data privacy, AI bias, and accountability

  • Regulatory and legal landscapes surrounding AI usage in cybersecurity

7. Preparation Strategies

  • Best practices to secure AI systems today

  • Organizational readiness for AI-centric threats

  • Frameworks and standards for AI risk management

Why This Course?

  • Up-to-date with the latest advancements in Generative AI and cybersecurity

  • Hands-on mindset with practical examples and use cases

  • Addresses both technical and ethical dimensions of AI security

  • Designed for beginners to mid-level professionals, with foundational and advanced concepts

Prepare for the Future

The digital battlefield is evolving. As Generative AI continues to redefine how we create, communicate, and interact online, defending against its misuse is more critical than ever. This course equips you with the mindset and capabilities to proactively safeguard digital assets in this new era.

Enroll now and join a growing community of professionals committed to leading cybersecurity in the age of Generative AI.

Who this course is for:

  • Cybersecurity Professionals
  • AI and Machine Learning Practitioners
  • IT Managers and Decision-Makers
  • Ethical Hackers and Penetration Testers:
  • Students and Researchers
  • Thought Leaders and Policymakers
  • AI Developers and Engineers
  • Anyone Concerned About Data Privacy
  • Industry Professionals in Sensitive Sectors
  • General Technology Enthusiasts