Phishing Email Detection Using Large Language Models

📰 ArXiv cs.AI

Learn to detect phishing emails using Large Language Models (LLMs) to improve email security and prevent cyber intrusions

intermediate Published 16 Jun 2026

Action Steps

Build a dataset of labeled phishing and legitimate emails
Train an LLM model using the dataset to recognize phishing patterns
Configure the LLM model to integrate with email security systems
Test the model's performance against various phishing email threats
Apply the trained model to detect and prevent phishing emails in real-time

Who Needs to Know This

Security teams and developers can benefit from this knowledge to enhance their email security systems and protect against phishing attacks. This is particularly useful for teams deploying LLMs in their applications

Key Insight

💡 LLMs can be effective in detecting phishing emails, but require substantial hardening before deployment in email security systems

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