Written Assignment 7 Lib-4950 Randy Barham
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Thomas Edison State College *
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Apr 3, 2024
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docx
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Written Assignment 7
Randy Barham
Thomas Edison State University
LIB-4950 Liberal Arts Capstone
Dr. Augustus Black
February 25, 2024
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Thesis
Generative AI significantly enhances cybersecurity defenses by automating detection and response mechanisms but also amplifies risks by enabling more sophisticated cyber attacks.
Arguments in Favor
Enhanced Cybersecurity Defenses
Generative AI's role in automating detection and response mechanisms is pivotal. Through machine learning algorithms, AI systems can analyze patterns in data to identify anomalies that may signify cyber threats, thereby reducing the time from threat detection to response. This capability is critical in defending against sophisticated cyber attacks that evolve rapidly, outpacing traditional security measures.
Innovation and Adaptation
The adaptive nature of generative AI means that cybersecurity systems can continuously learn and evolve, staying ahead of attackers. By simulating various attack scenarios, generative AI can help in developing more robust defense mechanisms, effectively "thinking" like a hacker to anticipate potential vulnerabilities before they can be exploited.
Counterarguments
Potential for Misuse
While generative AI offers substantial benefits for cybersecurity, its potential misuse by malicious actors presents a significant risk. Advanced AI could be used to create malware that is highly adaptive, capable of changing its behavior to avoid detection, or to automate the
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generation of phishing attempts that are increasingly difficult to distinguish from legitimate communications.
Ethical and Accountability Issues
The autonomous nature of generative AI systems raises important ethical questions, particularly regarding accountability in the event of a failure or when AI-enabled systems are used in attacks. The complexity of AI decision-making processes can make it difficult to trace actions back to their source, complicating efforts to hold individuals or entities accountable for malicious activities.
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References
Katz, B. (2020). The Intelligence Edge: Opportunities and Challenges from Emerging Technologies for U.S. Intelligence.
Center for Strategic and International Studies.
Gerstein, D. M. (2022). Better Anticipating and Managing Today’s Growing Cyber Risks.
The Cyber Defense Review.