video1.0<iframe src="https://www.loom.com/embed/c32d125c6cd740129b695fb41dc4f6e8" frameborder="0" width="798" height="598" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>598798Loomhttps://www.loom.com598798https://cdn.loom.com/sessions/thumbnails/c32d125c6cd740129b695fb41dc4f6e8-639883c89c0145ef.gif196.9664Problem & Solution Phishing detection is automated with AI using a Retrieval-Augmented Generation (RAG) pipeline. Large corpus of 100K+ labeled phishing links ensures high-accuracy comparisons. Data Privacy & Security Automatic redaction of personally identifiable information (PII) before sending anything to OpenAI or external models. Maintains compliance and protects user data. Human-in-the-Loop When confidence is low, flagged emails go to a human reviewer for final decision. Supports sending automatic block/alert emails or ignoring safely. User Experience Gmail integration: emails flagged in real-time. Clear UI to block, alert, or ignore suspicious messages. History management: delete or keep flagged cases for later review. AI Training & Continuous Improvement Nearest neighbor search compares only against phishing-labeled data for precision. Includes CTR trainer and cybersecurity chatbot for user education and adaptive defense. Impact Automates tedious phishing detection at scale. Increases accuracy, reduces false positives, and speeds up response. Protects users while keeping them in control.