Written Assignment 4 LIB-4950 Randy Barham
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Thomas Edison State College *
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4950
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Communications
Date
Apr 3, 2024
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docx
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Written Assignment 4
Randy Barham
Thomas Edison State University
LIB-4950 Liberal Arts Capstone
Dr. Augustus Black
February 4, 2024
Narrative
The scope of this project covers the impact of generative AI on cybersecurity, examining both the positive contributions it provides and potential challenges it causes. The key concepts include generative AI, cybersecurity, offensive strategies, defensive strategies, security threats, and ethical considerations. Several tasks need to be completed in order to reach the goals of the project:
1.
Conducting research to gather academic papers, industry reports, and case studies that discuss the topic.
2.
Analyzing these sources to find key information and to understand the implications generative AI will have on digital security.
3.
Identifying key concepts used throughout the project.
4.
Evaluate the effectiveness generative AI has on enhancing threat detection, automating defensive measures, combating cyber threats, as well as causing them.
5.
Examining the ethical and legal implications of using generative AI-powered technologies.
6.
Considering the future of digital security once the widespread adoption of generative AI happens.
The scope of this project focuses on a specific aspect of the digital security world, which is generative AI’s impact on it. It focuses on generative AI’s impact on the digital security landscape, including covering offensive and defensive uses, as well as ethical and legal
aspects. The scope is appropriate because it is not so broad as to cover cybersecurity as a whole, or too narrow to focus on a specific technology or element of cybersecurity.
Key concepts include:
1.
Generative AI: This concept refers to artificial intelligence that has the ability to generate new content and perform tasks based on existing data patterns.
2.
Cybersecurity. This refers to the measures used to protect digital assets, including data, networks, and systems, from cyber attacks and other threats. Digital security is a subset of this, a term interchangeable with information security and referring to protecting data.
3.
Emerging trends. This concept refers to new developments in AI technology and its potential impact on cybersecurity.
4.
Legal and ethical concerns. This pertains to the moral implications of using AI in cybersecurity and the laws and regulations that govern its use.
Information sources for this project include scholarly journals, academic databases, industry reports, and articles from reputable news sources. This will provide a diverse range of perspectives into the subject. Academic journals like IEE Transactions on Information Forensics
and Security and the Journal of Cybersecurity from Oxford University Press have peer-
reviewed research papers on the subject. Journals like Computer Law & Security Review from Elsevier LTD. have articles that discuss the legal and ethical side of cybersecurity.
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Outline
Thesis Statement
The project explores the impact of generative AI’s effects on cybersecurity. It analyzes both the positive contributions and potential challenges. The research intends The research aims to explore the impact of generative AI on digital security, analyzing both its positive contributions and potential challenges within the cybersecurity landscape. The investigation seeks to provide an in-depth understanding of how the integration of generative AI technologies influences various aspects of digital security, encompassing threat detection, defensive measures, offensive strategies, ethical considerations, and legal frameworks.
I.
Introduction
A.
An overview of generative AI’s use in cybersecurity will be given to explain the technology’s ability to perform tasks and generate ideas based on existing data. The importance of cybersecurity with advancing AI technology will also be discussed. This is to explain the importance of its role in the tech world with something that can be potentially uncontrollable.
II. Impact of Generative AI on Cybersecurity
A.
How generative AI will affect cybersecurity will be explained. This section will focus on the technology’s role in enhancing threat detection through algorithms, automating defense for proactive cybersecurity strategies, and improving response times.
B.
The negative impacts will also be explained. This section will examine how generative AI
can lead to increased sophistication of cyberattacks, the potential for AI to automatically
adapt their strategies and perform automated attacks, and legal and ethical concerns related to surveillance and data analysis when using these technologies.
III. Current Trends and Practices
A.
The defensive side of AI-driven cybersecurity will be explained. Case studies will be cited to demonstrate the effectiveness of tools. Scholarly discussions on implementing these tools and AI’s effectiveness will also be included.
B.
The offensive side will then be explored, with examples of AI-enhanced cyber attacks and techniques discussed. Strategies for defending against these attacks will also be included.
IV. Ethical and Legal Issues
A.
The ethical issues of these technologies being used in cybersecurity will be discussed. It
will focus on accountability and transparency, fairness and bias elimination in algorithms,
and the protection of individual rights such as privacy.
B.
The law that applies to the use of AI in cybersecurity will be analyzed in this section. It will include regulations and policies related to data protection, as well as international efforts to address security challenges.
V. Future of Cybersecurity
A.
Emerging trends will be explored here, including advancements in AI technology and their implications.
B.
Challenges that can arise from the widespread adoption of generative AI will be explored, such as addressing the skills gap in the cybersecurity workforce. This section will also discuss strategies to mitigate potential risks and vulnerabilities associated with AI-controlled security systems.
VI. Conclusion
A.
The conclusion will give a summary of the key concepts of this project, including a recap of the positive and negative consequences, the importance of looking at it from a legal and ethical perspective, and future concerns and recommendations for integrating generative AI into cybersecurity.
B.
Suggestions for cybersecurity professionals will be included here. Recommendations for responsible use and strategies to implement generative AI will be discussed, as well as the importance of constant learning and sharing knowledge in this field.
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Sources
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