Cloudy LLM Boosts Security Decisions

🔑 Enhanced Key Takeaways

• •Cloudy is powered by Cloudflare Workers AI, using publicly available LLMs with purpose-built prompts enriched by policy data, product documentation, and translated list datasets for accurate summaries and recommendations.[1][2]
• •Cloudy respects RBAC permissions, accesses only the logged-in user's configuration data without training on customer data, and maintains enterprise-grade security as per Cloudflare's responsible AI practices.[2]
• •Cloudy has been integrated into security analytics for conversational threat investigations, analyzing global network threats like APTs, DDoS, and WAF exploits to provide IOC context and MITRE ATT&CK mappings.[3]

🛠️ Technical Deep Dive

• •Built on Workers AI using publicly-available LLMs; processes policy/rule data via purpose-built prompts including raw configurations, product documentation, enriched datasets (e.g., ID-to-text translation for lists), and specified output formats.[1]
• •Implements Retrieval-Augmented Generation (RAG) in email security to ground responses in detection datasets, reducing hallucinations; adds context on internal models like Churchmouse sentiment scoring.[7]
• •Combines configuration data with RBAC restrictions; no customer data used for training, only for prompts; supports threat analysis without sharing data across customers.[2][3]

🔮 Future ImplicationsAI analysis grounded in cited sources

⏳ Timeline