# cloud
50 artikelengetagd met “cloud”
Cloud-AI-beveiliging oefenexamen 1
Practice exam covering AWS Bedrock, Azure OpenAI, and GCP Vertex AI security assessments.
Cloud-AI-beveiliging oefenexamen 2
Advanced practice exam on multi-cloud AI security, IAM misconfigurations, and cost-based attacks.
Beoordeling van multi-cloud AI-beveiliging
Assessment spanning AWS Bedrock, Azure OpenAI, and GCP Vertex AI security configurations and misconfigurations.
Assessment van cloud-AI-platforms
Assessment covering AWS Bedrock, Azure OpenAI, GCP Vertex AI, and multi-cloud security strategies.
Beveiligingsassessment van cloud-AI (assessment)
Assessment covering AWS Bedrock, Azure OpenAI, GCP Vertex AI security configurations and threats.
Beoordeling van IAM voor AI-systemen
Assessment of identity and access management vulnerabilities specific to AI service deployments.
Vaardigheidsverificatie: cloud AI-beveiliging
Practical verification of cloud AI platform security assessment skills.
Vaardigheidsverificatie: cloud AI-beveiliging (beoordeling)
Hands-on verification of cloud AI service security assessment across AWS, Azure, and GCP.
Capstone: beveiligingsassessment van cloud-AI
Assess AI deployment security across AWS, Azure, and GCP cloud platforms, producing a comprehensive cloud AI security assessment report.
Beveiliging van cloud-ML-platforms (AWS/Azure/GCP)
Security comparison of cloud ML platforms including AWS SageMaker, Azure Machine Learning, and Google Vertex AI. IAM configuration, data security, model serving, and platform-specific attack surfaces.
Beveiligingsassessment van AWS Bedrock-agents
Security assessment of AWS Bedrock Agents including action groups, knowledge bases, and guardrail configurations.
Beveiliging van AWS Bedrock Agents
Security assessment of AWS Bedrock Agents including action groups, knowledge bases, and guardrail integration.
Beveiligingsgids voor Azure AI Foundry
Comprehensive security guide for Azure AI Foundry including model deployment, prompt flow, and content safety.
Testen van Azure AI Content Safety
Testing Azure AI Content Safety service for bypass vulnerabilities and configuration weaknesses.
Beveiliging van API-keybeheer voor cloud-AI
Best practices and attack vectors for API key management in cloud AI service deployments.
Compliance-automatisering voor cloud-AI
Automating AI compliance checks and security assessments using cloud-native tools and policy-as-code approaches.
Container- en runtimebeveiliging voor cloud-AI
Security of containerized AI model serving including image scanning, runtime protection, and orchestration security.
Aanvallen op cloud-AI-kosten
Detailed analysis of cost-based attacks against cloud AI services including prompt inflation and resource exhaustion.
Disaster recovery-planning voor cloud-AI
Disaster recovery and business continuity planning for cloud AI deployments including model backup and failover.
Beveiliging van cloud-fine-tuningservices
Security assessment of cloud-based fine-tuning services including data isolation, model access, and output controls.
Opzetten van beveiligingsmonitoring voor cloud-AI
Setting up comprehensive security monitoring for cloud AI deployments using native cloud tools and third-party solutions.
Netwerkisolatie voor cloud AI-workloads
Implementing network isolation strategies for cloud AI deployments including private endpoints, VPC configurations, service mesh integration, and data plane segmentation for LLM inference and training workloads.
Netwerkbeveiligingsarchitectuur voor cloud-AI
Network security architecture for cloud AI deployments including VPC design, endpoints, and traffic inspection.
Beveiliging van prompt caching bij cloud-AI
Security implications of prompt caching features in cloud AI services including cache poisoning and information leakage.
Beheer van secrets en credentials bij cloud-AI
Managing secrets, credentials, and sensitive configuration for cloud AI applications securely.
Rotatie van secrets voor cloud AI-deployments
Implementing automated secrets rotation strategies for API keys, model endpoint credentials, and service accounts used in cloud AI/LLM deployments across AWS, Azure, and GCP.
Shared responsibility-model voor cloud AI-beveiliging
Understanding the division of security responsibilities between cloud providers and customers for AI/ML workloads across AWS, Azure, and GCP, with specific guidance for LLM deployments.
Beveiliging van cloud-modelregisters
Security of cloud model registries including SageMaker Model Registry, Azure ML Registry, and Vertex AI Model Registry.
Beveiliging van GCP Model Garden
Security assessment of GCP Model Garden including model deployment, versioning, and access control.
Beveiliging van GCP Vertex AI Agent Builder
Security assessment of Google Vertex AI Agent Builder including grounding, tool use, and safety settings.
Beveiliging van Hugging Face Inference Endpoints
Security analysis of Hugging Face Inference Endpoints including model isolation and API security.
Analyse van het multi-cloud AI-aanvalsoppervlak
Comparative attack surface analysis across AWS, Azure, and GCP AI service portfolios.
Juni 2026: cloud-AI-beveiligingsuitdaging
Find and document vulnerabilities in a cloud-deployed AI service covering API security, model serving infrastructure, authentication, and data handling.
Azure ML-aanvalsoppervlak
Beveiligingsbeoordeling van Azure Machine Learning -- misbruik van managed identity, workspace-beveiliging, aanvallen op compute-instances en endpoint-kwetsbaarheden.
Aanvallen op cloud-AI-infrastructuur
Beveiligingsbeoordeling van cloud-gehoste AI/ML-platforms zoals AWS SageMaker, Azure ML en GCP Vertex AI -- IAM-misconfiguraties, modeldiefstal en datablootstelling.
Het aanvalsoppervlak van AWS SageMaker
Beveiligingsbeoordeling van AWS SageMaker -- exploitatie van IAM-rollen, misbruik van endpoints, aanvallen op notebookservers en manipulatie van trainingspipelines.
GCP Vertex AI-aanvalsoppervlak
Beveiligingsbeoordeling van Google Cloud Vertex AI -- exploitatie van serviceaccounts, endpointbeveiliging, notebook-aanvallen en pijplijnmanipulatie.
Lab: beveiligingsbeoordeling van cloud-AI
Conduct an end-to-end security assessment of a cloud-deployed AI service, covering API security, model vulnerabilities, data handling, and infrastructure configuration.
Lab: cloud-AI-beoordeling
Hands-on lab for conducting an end-to-end security assessment of a cloud-deployed AI system including infrastructure review, API testing, model security evaluation, and data flow analysis.
CTF: Cloud AI Heist
Extract secrets from a cloud-deployed AI application by exploiting misconfigurations, SSRF, metadata endpoints, and model-level vulnerabilities in a realistic cloud environment.
Cloud Infiltrator-uitdaging
Navigate through cloud AI service misconfigurations to access a protected model endpoint and extract its secrets.
Lab: ontwijking van het Azure-contentfilter
Hands-on lab for mapping and testing Azure OpenAI Service content filtering categories, severity levels, and bypass techniques.
Lab: AWS Bedrock-guardrails testen
Hands-on lab for systematically testing and bypassing AWS Bedrock's built-in guardrails including content filters, denied topics, and word filters.
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.
Azure ML-beveiligingstesten
End-to-end walkthrough voor het beveiligingstesten van Azure Machine Learning-endpoints: workspace-enumeratie, exploitatie van beheerde online-endpoints, beoordeling van compute-instances, review van data store-toegang en analyse met Azure Monitor.
Walkthrough: Azure OpenAI red team (platform-walkthrough)
End-to-end walkthrough for red teaming Azure OpenAI deployments: deployment configuration review, content filtering bypass testing, managed identity exploitation, prompt flow assessment, and diagnostic log analysis.
Walkthrough: AWS Bedrock red team (platform-walkthrough)
End-to-end walkthrough for red teaming AI systems on AWS Bedrock: setting up access, invoking models via the Converse API, testing Bedrock Guardrails, exploiting knowledge bases, and analyzing CloudTrail logs.
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.
Walkthroughs van cloud-AI-platforms
Hands-on walkthroughs for red teaming AI systems deployed on major cloud platforms: AWS Bedrock, Azure OpenAI, Google Vertex AI, and Hugging Face Hub.
Red team-walkthrough van Vertex AI
End-to-end walkthrough for red teaming Google Cloud Vertex AI: prediction endpoint testing, Model Garden security assessment, Feature Store probing, and Cloud Logging analysis.