This research explores how Large Language Models (LLMs) can enhance phishing email detection, addressing a critical gap in cybersecurity defenses.

• Evaluates effectiveness of LLMs in identifying sophisticated phishing attempts
• Compares performance against traditional machine learning approaches
• Demonstrates potential for improved detection accuracy in real-world scenarios
• Offers new defense strategies against evolving cyber threats

As phishing attacks grow more advanced, this work provides security professionals with innovative tools to protect organizational assets and sensitive information, potentially reducing successful breach attempts significantly.

Enhancing Phishing Email Identification with Large Language Models