AI-Powered Strategies for Enhanced Email Security and Phishing Defense

Akash Arun Kumar Soumya

Abstract: Phishing attacks targeting emails continue to threaten personal and organizational security. Traditional security measures often fail against evolving phishing techniques. This study explores the use of Artificial Intelligence (AI) for improving email security, leveraging machine learning, natural language processing, and deep learning to detect phishing patterns and anomalies. The proposed AI system offers enhanced accuracy, reduced false positives, and stronger overall email protection. The study also provides a framework for organizations to implement AI-enabled solutions to counter phishing threats effectively.

Keywords: Email security, threat detection, Machine Learning (ML), phishing defense, Natural Language Processing (NLP), Deep Learning (DL), Cybersecurity, Artificial Intelligence (AI), Cyber defense, AI in cybersecurity

How to Cite?: Akash Arun Kumar Soumya, "AI-Powered Strategies for Enhanced Email Security and Phishing Defense", Volume 13 Issue 12, December 2024, International Journal of Science and Research (IJSR), Pages: 1335-1337, https://www.ijsr.net/getabstract.php?paperid=SR241220090939, DOI: https://dx.doi.org/10.21275/SR241220090939