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Cloudflare describes how integrating LLMs into their email security pipeline shifts phishing detection from reactive to proactive by mapping the threat landscape at scale.
•Traditional email security improves primarily through user-reported misses, creating a reactive loop where detection lags behind attacker innovation.
•LLMs categorize millions of daily emails by intent, urgency, and deception, surfacing nuanced threat vectors like "Sales Outreach" phishing that mimic legitimate B2B communication.
•LLM-generated tags enable analysts to identify systemic gaps faster, driving targeted ML model training without waiting for large volumes of customer reports.
•A dedicated sentiment analysis model was built for Sales Outreach phishing, trained on LLM-curated corpora focusing on persuasive framing, urgency, and transactional language.
•Average daily Sales Outreach phishing misses dropped 20.4% from Q3 to Q4 2025 (965 to 769), with a further two-thirds reduction continuing into Q1 2026.
This summary was automatically generated by AI based on the original article and may not be fully accurate.