# model-serving
8 artikelengetagd met “model-serving”
DNS-rebinding-aanvallen tegen AI-services
DNS rebinding misbruiken om netwerkcontroles te omzeilen en toegang te krijgen tot interne AI-model-serving-endpoints, trainingsdashboards en GPU-managementinterfaces
Security Comparison of Model Serving Frameworks
In-depth security analysis of TorchServe, TensorFlow Serving, Triton Inference Server, and vLLM for production AI deployments
Model Serving Infrastructure Attacks
Attacking model serving infrastructure including inference servers, load balancers, and GPU schedulers.
Beveiliging van de Triton Inference Server
Security hardening for NVIDIA Triton Inference Server deployments including model repository protection and API security.
Lab: aanvallen op model serving-frameworks
Exploit vulnerabilities in TensorFlow Serving, TorchServe, and Triton Inference Server, targeting model loading, API endpoints, and management interfaces.
Beveiliging van model serving
Security hardening for model serving infrastructure — covering vLLM, TGI, Triton Inference Server configuration, API security, resource isolation, and deployment best practices.
Beveiligingstesten van GCP Vertex AI
End-to-end walkthrough for security testing Vertex AI deployments on Google Cloud: endpoint enumeration, IAM policy analysis, model serving exploitation, pipeline assessment, and Cloud Audit Logs review.
Beveiligingstesten van de Replicate API
End-to-end walkthrough for security testing models on Replicate: model enumeration, prediction API exploitation, webhook security, Cog container assessment, and billing abuse prevention.