Packt
Generative AI and its Impact on Cybersecurity
Packt

Generative AI and its Impact on Cybersecurity

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

5 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

5 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand the principles of generative AI and its impact on cybersecurity

  • Identify and assess the security risks and vulnerabilities introduced by generative AI

  • Learn advanced defensive mechanisms and proactive strategies to counter AI-driven cyber threats

  • Explore future trends and ethical considerations of AI in cybersecurity

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Recently updated!

May 2025

Assessments

7 assignments

Taught in English

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There are 7 modules in this course

In this module, we will introduce the foundational concepts of generative AI and explore its transformative impact on cybersecurity. You'll learn how thought leaders influence innovation and see real-world examples of how AI is reshaping industries. This section provides a deep dive into both the technical and strategic aspects of generative AI’s role in cybersecurity.

What's included

3 videos1 reading

In this module, we will explore the specific security risks associated with generative AI, including how adversarial attacks and model manipulations can compromise systems. Through case studies, you'll gain insights into real-world vulnerabilities and the unique challenges these technologies bring to cybersecurity.

What's included

3 videos1 assignment

In this module, we will explore expert insights on how generative AI is poised to transform the cybersecurity industry. We'll discuss the advancements on the horizon and the potential challenges they may bring, along with the changing dynamics of AI-powered cyber defense strategies.

What's included

3 videos1 assignment

In this module, we will dive into defensive strategies designed to mitigate generative AI risks. From automated systems for threat detection to proactive cybersecurity practices like phishing and deepfake identification, this section covers essential tools and techniques for defending against AI-related cyber threats.

What's included

8 videos1 assignment

In this module, we will explore the future of AI in cybersecurity, focusing on the latest trends and research. We’ll cover the intersection of AI with existing technologies and discuss ethical practices, including privacy-preserving methods, to help organizations navigate the evolving landscape of cybersecurity.

What's included

17 videos1 assignment

In this module, we will provide actionable guidance on how organizations can prepare for the future of cybersecurity. Learn how fostering a culture of innovation and collaboration can better equip businesses to tackle AI-driven challenges and threats.

What's included

3 videos1 assignment

In this module, we will introduce the ATLAS framework, a crucial tool for addressing AI security risks. Learn how it enhances existing cybersecurity frameworks like MITRE ATT&CK and gain practical insights through case studies that demonstrate its effectiveness in tackling adversarial threats to AI systems.

What's included

6 videos2 assignments

Instructor

Packt - Course Instructors
Packt
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