Paper Details

Name: Azhar, Shanu Kumar, Onkar Nath & Bevan Mehra
Country: India

Year: 2026
Volume: Volume No: 13, January, Year: 2026 (Special Issue)
Page Number: 276-283
DOI: https://doi.org/10.5281/zenodo.18978852

ABSTRACT
The phishing attacks targeting today corporate networks have fully exploited email, messaging, and collaboration platforms. Even traditional security measures like signature-based and rule-based systems have a hard time keeping up with advancing phishing strategies. In this, we delve into a real-time AI driven phishing detection system using machine learning, deep learning, and natural language processing that promises exceptionally high accuracy in detecting and responding to threats. The anomaly detection integration with AI, behavior analysis, and multi-layered automated response
mechanisms help in securing multi-channel corporate communication. The system is capable of real-time phishing detection by performing sophisticated analyses of email metadata, hyperlinks, and message content. Proactive AI-response measures such as content filtering, user alerting, etc. further improve corporate defense. Challenges such as conducted
adversarial AI attacks, detection of false positives, and compliance to data privacy regulations are notable, yet, progress in federated learning and Explainable AI provide answers to the unique problems posed. Ultimately, this research shed light on the powerful potential of AI being able to combat phishing attack in real-time.

Keyword : AI-based Phishing Detection, Real-time Cybersecurity, Machine Learning, Deep Learning, Corporate Networks.