# container-security
標記為「container-security」的 10 篇文章
Sandboxing AI Code Generation
Design patterns for sandboxing AI code generation and execution, covering container isolation, capability restriction, network controls, and runtime monitoring.
LLM-Generated Dockerfile Security
Analyzing security vulnerabilities commonly introduced by AI-generated Dockerfiles and container configurations.
Kubernetes Security for ML Workloads
Comprehensive analysis of Kubernetes attack surfaces specific to machine learning workloads, including GPU operator exploitation, model serving namespace attacks, and cluster-level privilege escalation through ML components.
Lab: Containerized Model Breakout
Explore techniques for escaping from containerized AI applications to the host system, testing container isolation boundaries in ML deployment environments.
Modal Serverless AI Deployment Testing
End-to-end walkthrough for security testing Modal serverless AI deployments: function enumeration, web endpoint exploitation, secret management assessment, volume security testing, and container escape analysis.
Sandboxing AI Code Generation
Design patterns for sandboxing AI code generation and execution, covering container isolation, capability restriction, network controls, and runtime monitoring.
LLM-Generated Dockerfile 安全
Analyzing security vulnerabilities commonly introduced by AI-generated Dockerfiles and container configurations.
Kubernetes 安全 for ML Workloads
Comprehensive analysis of Kubernetes attack surfaces specific to machine learning workloads, including GPU operator exploitation, model serving namespace attacks, and cluster-level privilege escalation through ML components.
實作：容器化模型突破
探索自容器化 AI 應用逃逸至主機系統之技術，測試 ML 部署環境中之容器隔離邊界。
Modal Serverless AI Deployment Testing
End-to-end walkthrough for security testing Modal serverless AI deployments: function enumeration, web endpoint exploitation, secret management assessment, volume security testing, and container escape analysis.