ARTIFICIAL INTELLIGENCE IN CYBERSECURITY A DOUBLE-EDGED SWORD
Keywords:
Artificial Intelligence in Cybersecurity, Defensive AI Applications, Offensive AI Applications, AI-Driven Threat Detection, Predictive Analytics in Cybersecurity, Anomaly Detection Algorithms, Generative Adversarial Networks (GANs), AI-Generated Malware, Deepfake Social Engineering, Reinforcement Learning in Cybersecurity, Adversarial Attacks on AI, Polymorphic Malware, Federated Learning for Cybersecurity, Ethical AI Implementation, Cybersecurity Automation, AI-Powered Intrusion Detection Systems (IDS)Abstract
Artificial intelligence (AI) is revolutionizing cybersecurity by enabling advanced threat detection, predictive analytics, and automated responses. However, its misuse for sophisticated cyberattacks has raised significant concerns. This study explores AI's dual role, presenting algorithms and models that power defensive and offensive AI applications. Mitigation strategies are discussed to balance these challenges.
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