1. NVIDIA Morpheus Documentation. Morpheus is an open AI application framework that enables cybersecurity developers to create optimized AI pipelines for filtering, processing, and classifying large volumes of real-time data. The core function involves classifying events to identify threats, which directly supports a threshold-based escalation model. See the "Morpheus Architecture" and "Digital Fingerprinting" sections. (Official Vendor Documentation)
2. Stanford University, CS229: Machine Learning. Lecture notes on "Classification and Logistic Regression" describe the fundamental principles of categorizing data points (e.g., security events) into discrete classes (e.g., low, medium, high risk), which is the foundation for the described approach. (University Courseware)
3. Gartner, "Market Guide for Security Orchestration, Automation and Response Solutions," (2023). This guide details how SOAR platforms use automated workflows (playbooks) triggered by incident classification to streamline security operations, including tiered escalation to human analysts. (Peer-reviewed Industry Analysis)