Smart Cybersecurity: Machine Learning Solutions for Evolving Threats

Authors

  • Leila Abbas Nile Delta University, Egypt

Abstract

This paper represents a pivotal paradigm shift in safeguarding digital ecosystems. Leveraging machine learning's prowess, this innovative approach embodies a dynamic shield against ever-evolving cyber threats. By assimilating vast datasets and discerning intricate patterns, these solutions fortify defenses with proactive intelligence, preempting attacks before they manifest. Through continuous learning and adaptation, they evolve alongside emerging threats, ensuring unparalleled resilience in the face of adversarial tactics. Abstract Smart Cybersecurity heralds a new era where proactive defense strategies, powered by machine learning, redefine the cybersecurity landscape, providing organizations with the agility and foresight essential for securing their digital assets.

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Published

2024-04-24

How to Cite

Abbas, L. (2024). Smart Cybersecurity: Machine Learning Solutions for Evolving Threats. MZ Journal of Artificial Intelligence, 1(1). Retrieved from http://mzjournal.com/index.php/MZJAI/article/view/103