Generative AI and Cybersecurity: Dual-Use Risks and Defensive Applications
Abstract
The rapid advancement of Generative AI presents both opportunities and risks in cybersecurity. On one hand, attackers can use GenAI to automate phishing emails, generate malware code, and create deepfakes. On the other hand, defenders can harness GenAI to simulate attack scenarios, generate synthetic threat data, and enhance anomaly detection systems. This paper presents a dual-perspective analysis of GenAI’s role in cybersecurity, highlighting both offensive and defensive use cases and proposing policy and technical safeguards.
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