Quill Operator is a security management platform that uses artificial intelligence to monitor video surveillance systems and automate security workflows. The system analyzes video feeds in real-time to detect threats and anomalies, processing data from multiple cameras simultaneously. The platform integrates with existing cameras, video management systems, and network video recorders without requiring additional hardware. It performs object detection and behavioral pattern recognition across video streams, identifying security events and reducing false positives through machine learning algorithms. Quill Operator automates security response workflows by routing alerts to appropriate personnel based on risk prioritization. The system can execute pre-configured response protocols including automated voice warnings and emergency service notifications. Security agents interact with the platform to make final decisions on detected events while the system handles routine monitoring tasks. The platform includes continuous learning capabilities that adapt detection thresholds based on environmental conditions and operator feedback. It provides documentation of security events and actions for compliance purposes. The system processes alarm monitoring data and coordinates responses across distributed security operations. Quill Operator offers centralized management for security teams monitoring multiple locations, with features for task automation, agent workflow guidance, and performance analytics.