AdaPhish: AI-Powered Adaptive Defense and Education Resource Against Deceptive Emails
This addresses the need for scalable and collaborative phishing defense and education resources for organizations, though it appears incremental as it builds on existing phish bowl concepts with AI enhancements.
The paper tackles the problem of phishing attacks by introducing AdaPhish, an AI-powered platform that automatically anonymizes and analyzes phishing emails using LLMs and vector databases, achieving real-time detection and adaptation to new tactics while enabling long-term trend tracking.
Phishing attacks remain a significant threat in the digital age, yet organizations lack effective methods to tackle phishing attacks without leaking sensitive information. Phish bowl initiatives are a vital part of cybersecurity efforts against these attacks. However, traditional phish bowls require manual anonymization and are often limited to internal use. To overcome these limitations, we introduce AdaPhish, an AI-powered phish bowl platform that automatically anonymizes and analyzes phishing emails using large language models (LLMs) and vector databases. AdaPhish achieves real-time detection and adaptation to new phishing tactics while enabling long-term tracking of phishing trends. Through automated reporting, adaptive analysis, and real-time alerts, AdaPhish presents a scalable, collaborative solution for phishing detection and cybersecurity education.