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Mastering GenAI in Cybersecurity: Threats & Defenses 2023

person icon Peter Alkema

4.5

Mastering GenAI in Cybersecurity: Threats & Defenses 2023

Master Generative AI in Cybersecurity: From AI-Specific Threats to Defensive Strategies, Data Privacy, & Ethical Use

updated on icon Updated on Sep, 2025

language icon Language - English

person icon Peter Alkema

category icon Development ,Data Science,Generative AI

Lectures -100

Duration -5 hours

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Course Description

In the ever-evolving landscape of cybersecurity, the stakes have never been higher. With cyber threats becoming more sophisticated and elusive, how can individuals and organizations stay one step ahead? The answer lies in harnessing the groundbreaking potential of Generative AI (GenAI). As the digital realm faces an unprecedented wave of challenges, this comprehensive course serves as your beacon through the complexities of GenAI in cybersecurity.
Our team of seasoned experts, holding accolades and years of hands-on experience, has meticulously crafted a curriculum that transcends traditional learning paradigms. We've been at the forefront, navigating the dynamic cybersecurity domain, constantly updating our strategies to combat emerging threats. Our commitment to sharing this wealth of knowledge stems from a profound belief in empowering individuals with the tools and insights to make a difference in the world of cybersecurity.
Why is the convergence of Generative AI and cybersecurity more relevant today than ever? In an age where digital transformation accelerates at breakneck speeds, adversaries are also leveraging AI to orchestrate more complex and stealthy attacks. Understanding and utilizing GenAI in defense mechanisms has become indispensable. This course unravels GenAI's capabilities, challenges, and the ethical landscape, preparing you to leverage its power responsibly and effectively.
Embark on a captivating journey through our curriculum, meticulously designed to address the nuances of GenAI in cybersecurity. You'll delve into the impact of GenAI on cyber threats, exploring both the opportunities and the challenges it presents. Through comparative analyses, we dissect the differences between traditional and AI-enhanced cyber threats, providing you with a comprehensive understanding of the evolving threat landscape.
Intended Learners :
  • Cybersecurity professionals seeking to update their knowledge on the latest AI threats and defense strategies.
  • IT managers responsible for safeguarding their organizations’ digital assets against advanced cyber threats.
  • AI researchers focusing on cybersecurity applications and looking to understand the latest trends and threats in the field.
  • Software developers working on cybersecurity solutions who need to incorporate generative AI capabilities into their products.
  • Cybersecurity policy makers and strategists interested in the ethical, legal, and socioeconomic implications of utilizing GenAI in defense mechanisms.
  • Students and academicians pursuing studies in cybersecurity, AI, or a related field, who wish to gain a comprehensive understanding of how generative AI impacts cybersecurity.

Goals

  • Define the role of GenAI in cybersecurity.
  • Explain the evolution of cyber threats with GenAI.
  • Compare traditional vs. GenAI-enhanced cyber threats.
  • Evaluate the ethical implications of GenAI in cybersecurity.
  • Identify AI-specific threats such as deepfakes and AI-phishing.
  • Describe the concept of prompt injection attacks.
  • Analyze the development process of AI-powered malware.
  • Explain the impact of data poisoning on AI models.
  • Apply secure prompt engineering principles.
  • Detect and mitigate deepfakes using strategic approaches.
  • Prevent AI-enhanced phishing attacks through innovative methods.
  • Implement adversarial testing in AI systems for better security.
  • Use GenAI for realistic incident simulation in cybersecurity practice.
  • Automate response strategies to cybersecurity incidents with AI.
  • Assess ethical and legal considerations in deploying GenAI.
  • Develop secure AI models following best practices.
  • Protect AI intellectual property and secure AI coding practices.
  • Explore the impact of quantum computing on GenAI security.
  • Utilize GenAI for enhanced cyber threat intelligence.
  • Apply AI-driven techniques for effective vulnerability management.

Prerequisites

  • There are no requirements or pre-requisites for this course, but the items listed below are a guide to useful background knowledge which will increase the value and benefits of this course.
  • Basic understanding of cybersecurity principles and practices.
  • Familiarity with AI and machine learning concepts.
  • Experience with programming or scripting languages (Python preferred).
Mastering GenAI in Cybersecurity: Threats & Defenses 2023

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction to Generative AI in Cybersecurity

5 Lectures
  • play icon Understanding Generative AI and Its Impact on Cybersecurity 03:07 03:07
  • play icon The Evolution of Cyber Threats with GenAI 03:17 03:17
  • play icon Generative AI: Friend or Foe in Cyber Defence 02:31 02:31
  • play icon Comparative Analysis: Traditional vs GenAI-Enhanced Cyber Threats 03:38 03:38
  • play icon The Ethical Landscape of GenAI in Cybersecurity 03:20 03:20

AI-Specific Threats and Vulnerabilities

5 Lectures
Tutorialspoint

Defensive Strategies against GenAI Threats

5 Lectures
Tutorialspoint

Leveraging GenAI for Cybersecurity Defense

5 Lectures
Tutorialspoint

Ethical and Legal Considerations in GenAI

5 Lectures
Tutorialspoint

Secure Development of AI Systems

5 Lectures
Tutorialspoint

Advanced Topics in GenAI and Cybersecurity

5 Lectures
Tutorialspoint

Innovations in AI-Driven Threat Intelligence

5 Lectures
Tutorialspoint

GenAI in Vulnerability Management

5 Lectures
Tutorialspoint

Cybersecurity Operations and GenAI

5 Lectures
Tutorialspoint

Training and Awareness with GenAI

5 Lectures
Tutorialspoint

Privacy Enhancements through GenAI

5 Lectures
Tutorialspoint

AI-Driven Digital Forensics

5 Lectures
Tutorialspoint

Cybersecurity Policy and GenAI

5 Lectures
Tutorialspoint

The Socioeconomic Impact of GenAI on Cybersecurity

5 Lectures
Tutorialspoint

GenAI and Identity Management

5 Lectures
Tutorialspoint

Future Technologies in GenAI Security

5 Lectures
Tutorialspoint

GenAI in Cyber Incident Response

5 Lectures
Tutorialspoint

Benchmarking GenAI Cybersecurity Solutions

5 Lectures
Tutorialspoint

Emerging Threats and Future Directions

5 Lectures
Tutorialspoint

Instructor Details

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Peter Alkema

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