Role of Generative AI in Cyber Security
Mode: ONLINE
Duration: 10 Hours
7 Days Flash Sale
60% OFF
Course + Exam Fee: 295 USD
Course Description
This course explores the transformative impact of generative AI technologies on the field of cybersecurity. It examines how advanced AI models—such as large language models (LLMs), generative adversarial networks (GANs), and machine learning frameworks—are being used both to strengthen cyber defense mechanisms and, conversely, exploited by malicious actors.
Students will gain a foundational understanding of generative AI and its applications in cybersecurity domains such as threat detection, vulnerability management, anomaly detection, social engineering defense, malware analysis, and incident response automation. The course also investigates the ethical and strategic implications of AI-generated content, including deepfakes, synthetic phishing attacks, and automated exploits.
Hands-on labs and case studies will enable students to work with generative AI tools to simulate threats and build AI-driven security solutions, while also critically evaluating the risks and challenges posed by adversarial AI.
Key Topics:
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Introduction to Generative AI (LLMs, GANs, Diffusion Models)
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AI in Cyber Threat Intelligence and Anomaly Detection
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Generative AI for Phishing Simulation and Social Engineering Defense
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AI-Augmented Security Operations and Incident Response
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Offensive Uses of Generative AI (e.g., automated exploit creation, deepfakes)
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Adversarial Machine Learning and Model Robustness
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Ethics, Policy, and Governance in AI-driven Security
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Future Trends and Risk Management in AI-powered Cybersecurity
Prerequisites: Basic understanding of cybersecurity concepts and introductory knowledge of artificial intelligence or machine learning.
Target Audience: Cybersecurity professionals, AI/ML practitioners, security analysts, technology leaders, and students interested in the intersection of AI and cybersecurity.
Learning Outcomes:
By the end of this course, students will be able to:
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Explain how generative AI technologies are reshaping cybersecurity strategies
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Identify and mitigate AI-powered threats in real-world scenarios
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Utilize generative AI tools to enhance security monitoring and response
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Critically assess the ethical and operational risks associated with AI in cybersecurity
Exam Format
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Multiple choice
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100 questions per exam
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No negative marks for wrong answers
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120 minutes duration
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Current pass rate: 95%