Mastering GenAI in Cybersecurity: Threats & Defenses 2023
Master Generative AI in Cybersecurity: From AI-Specific Threats to Defensive Strategies, Data Privacy, & Ethical Use
Development ,Data Science,Generative AI
Lectures -100
Duration -5 hours
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Course Description
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).

Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction to Generative AI in Cybersecurity
5 Lectures
-
Understanding Generative AI and Its Impact on Cybersecurity 03:07 03:07
-
The Evolution of Cyber Threats with GenAI 03:17 03:17
-
Generative AI: Friend or Foe in Cyber Defence 02:31 02:31
-
Comparative Analysis: Traditional vs GenAI-Enhanced Cyber Threats 03:38 03:38
-
The Ethical Landscape of GenAI in Cybersecurity 03:20 03:20
AI-Specific Threats and Vulnerabilities
5 Lectures

Defensive Strategies against GenAI Threats
5 Lectures

Leveraging GenAI for Cybersecurity Defense
5 Lectures

Ethical and Legal Considerations in GenAI
5 Lectures

Secure Development of AI Systems
5 Lectures

Advanced Topics in GenAI and Cybersecurity
5 Lectures

Innovations in AI-Driven Threat Intelligence
5 Lectures

GenAI in Vulnerability Management
5 Lectures

Cybersecurity Operations and GenAI
5 Lectures

Training and Awareness with GenAI
5 Lectures

Privacy Enhancements through GenAI
5 Lectures

AI-Driven Digital Forensics
5 Lectures

Cybersecurity Policy and GenAI
5 Lectures

The Socioeconomic Impact of GenAI on Cybersecurity
5 Lectures

GenAI and Identity Management
5 Lectures

Future Technologies in GenAI Security
5 Lectures

GenAI in Cyber Incident Response
5 Lectures

Benchmarking GenAI Cybersecurity Solutions
5 Lectures

Emerging Threats and Future Directions
5 Lectures

Instructor Details

Peter Alkema
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