# cloud-security
標記為「cloud-security」的 10 篇文章
Cloud AI Security Assessment
Test your knowledge of AWS, Azure, and GCP AI service security with 15 intermediate-level questions covering cloud-specific attack surfaces and misconfigurations.
Cloud AI Security
Comprehensive overview of cloud AI security for red teamers: shared responsibility models, attack surfaces across AWS, Azure, and GCP AI services, threat models for model APIs, data pipelines, and inference endpoints.
Security of AI-Generated Infrastructure as Code (Terraform)
Security risks in AI-generated Terraform configurations including privilege escalation, network exposure, secret management failures, and compliance violations.
API Fine-Tuning Security
Security analysis of cloud fine-tuning APIs from OpenAI, Anthropic, Together AI, Fireworks AI, and others -- how these services create new attack surfaces and the defenses providers have deployed.
Cloud AI Security Cheat Sheet
Quick reference comparing AI security controls across AWS, Azure, and GCP -- covering IAM, networking, encryption, monitoring, and AI-specific services.
紅隊演練雲端 AI 服務：實務指南
在 AWS、Azure 與 GCP 上紅隊演練 AI 服務的實務指南——涵蓋共享責任邊界、服務特定攻擊面與雲端原生安全控制。
雲端 AI 安全
給紅隊員的雲端 AI 安全完整概覽：共同責任模型、跨 AWS、Azure 與 GCP AI 服務的攻擊面、模型 API、資料管線與推論端點的威脅模型。
安全 of AI-Generated Infrastructure as Code (Terraform)
安全 risks in AI-generated Terraform configurations including privilege escalation, network exposure, secret management failures, and compliance violations.
API Fine-Tuning 安全
安全 analysis of cloud fine-tuning APIs from OpenAI, Anthropic, Together AI, Fireworks AI, and others -- how these services create new attack surfaces and the defenses providers have deployed.
雲端 AI 安全速查表
跨 AWS、Azure 與 GCP 的 AI 安全控制快速參考——涵蓋 IAM、網路、加密、監控與 AI 特定服務。