How Cloudy translates complex security into human action

What this post added

This post introduces Cloudy, an LLM-powered explanation layer built into Cloudflare One. Cloudy translates complex machine learning outputs from security detections into human-readable guidance for security teams and end users. It is being extended across Phishnet and API CASB to improve decision making and reduce noise. For Email Security users, Cloudy provides explanations for why messages are flagged, and for CASB, it helps administrators understand the risk and remediation path for SaaS findings. The implementation leverages Cloudflare Workers AI and the global Workers platform for real-time, low-latency summaries. The post details the technical approach for generating these summaries, including the aggregation of structured outputs from multiple detection models and the use of purpose-built prompts for natural language explanations. It also highlights the focus on accuracy and the avoidance of customer data in training.