# sagemaker
7 artikelengetagd met “sagemaker”
Cloud-AI-forensiek: AWS
Forensische onderzoekstechnieken voor AWS AI-diensten waaronder SageMaker, Bedrock en bijbehorende infrastructuurlogging en bewijsverzameling.
AWS IAM voor AI-services
IAM exploitation patterns for AWS AI services: overprivileged roles, cross-account model access, service-linked roles, resource policies for Bedrock and SageMaker, and privilege escalation through AI-specific IAM actions.
Overzicht van AWS AI Services-beveiliging
Red team methodology for AWS AI services including Bedrock, SageMaker, Comprehend, and Rekognition: service enumeration, attack surface mapping, and exploitation techniques.
Misbruik van SageMaker
Red team attack methodology for Amazon SageMaker: endpoint exploitation, notebook instance attacks, training job manipulation, model artifact tampering, and VPC misconfigurations in ML workloads.
Beveiligingsassessment van AWS SageMaker
Security assessment of AWS SageMaker including model hosting, endpoint security, and notebook vulnerabilities.
Het aanvalsoppervlak van AWS SageMaker
Beveiligingsbeoordeling van AWS SageMaker -- exploitatie van IAM-rollen, misbruik van endpoints, aanvallen op notebookservers en manipulatie van trainingspipelines.
Redteaming van AWS SageMaker
End-to-end walkthrough for red teaming ML models deployed on AWS SageMaker: endpoint enumeration, IAM policy analysis, model extraction testing, inference pipeline exploitation, and CloudTrail log review.