Red Canary reports it built an AI triage agent composed of orchestrated subagents that parse, enrich, extract features, apply a rules engine, and classify phishing reports, achieving 94% accuracy, per the company blog. Red Canary's product page lists performance claims including 99% noise reduction, 3 minutes for AI agent investigations, and a 60% reduction in triage and notification time. The blog cites the Anti-Phishing Working Group, noting more than 1.1 million phishing emails in Q2 2025, which Red Canary uses to justify scale automation. The blog describes discrete subagents for parsing and enrichment, feature extraction that mixes traditional boolean checks and AI-guided true/false feature outputs, a rules engine for deterministic outcomes, and a classification subagent that consumes those features.