Proactive observability system for production LLMs. Automatically detects semantic, lexical, domain, and performance drift, recovers high-quality responses via agentic strategies, and safely adapts models using LoRA fine-tuning with automated governance.

Detects concept and model drift in DNS traffic using ML, analyzes attack recall collapse, engages alarm for threshold drop, and compares retraining feasibility in a SOC detection environment.