POST: Email Archival, Processing and Flagging Stack for Incident Responders
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Abstract (arXiv)
Phishing is one of the main points of compromise, with email security and awareness being estimated at 50-100B in 2022. There is great need for email forensics capability to quickly search for malicious content. A novel solution POST is proposed. POST is an API driven serverless email archival, processing, and flagging workflow for both large and small organizations that collects and parses all email, flags emails using state of the art Natural Language Processing and Machine Learning, allows full email searching on every aspect of an email, and provides a cost savings of up to 68.6%.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 3 of its 14 references that are in the map. First posted on arXiv 1 Jul 2024.
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3 of 14 references.
References · 3
- 2024Enhancing LLM Factual Accuracy with RAG to Counter Hallucinations: A Case Study on Domain-Specific Queries in Private Knowledge-Basescited by 76
- 2023Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam Detectioncited by 12
- 2021Assessing the Effectiveness of YARA Rules for Signature-Based Malware Detection and Classificationcited by 3
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