Ai Email Phishing

Phishing remains one of the most prevalent and damaging cyber threats, exploiting human trust to gain unauthorized access to sensitive information.Traditional rule-based filters often fail to detect sophisticated or zero-day phishing attempts.This paper presents a machine learning (ML)-based framework for detecting phishing emails by combining content analysis, header inspection, and URL-based features with modern natural language processing (NLP) techniques.We evaluate multiple ML algorithms, including Logistic Regression, Random Forests, Gradient Boosting, and Transformer-based neural networks.Experiments on publicly available datasets demonstrate that our ensemble approach achieves superior detection accuracy, precision, and recall compared to baseline methods, highlighting the potential of AI-powered phishing detection as a practical defense mechanism.