# cloud-ai-security
10 artikelengetagd met “cloud-ai-security”
AWS Bedrock Security Deep Dive
Geavanceerde beveiligingsbeoordeling van AWS Bedrock met aandacht voor controles op modelaanroepen, het testen van guardrails-bypasses, VPC-configuraties en red team-methodologieën voor foundation-model-API's.
Hardening van Azure OpenAI Service
Comprehensive hardening guide for Azure OpenAI Service covering network isolation, content filtering, managed identity configuration, and threat detection for GPT and DALL-E deployments.
Kostenbeveiliging en budgetcontroles voor cloud-AI
Protecting cloud AI deployments from cost-based attacks including denial-of-wallet, token exhaustion, and auto-scaling abuse with budget controls across AWS, Azure, and GCP.
Dataresidentie en Soevereiniteit voor Cloud-AI
Het beheren van dataresidentie, soevereiniteit en vereisten voor grensoverschrijdende overdracht voor cloud-AI-diensten, waaronder GDPR, AI Act en regionale strategieën voor modeldeployment.
IAM-best practices voor cloud-AI-services
Cross-cloud IAM best practices for securing AI services on AWS, Azure, and GCP, covering least privilege, service identity management, cross-account access, and policy automation.
Logging en monitoring voor cloud-AI-services
Implementing comprehensive logging and monitoring for cloud AI services including prompt/response capture, anomaly detection, and security-focused observability across AWS, Azure, and GCP.
Beveiligingsrisico's van cloud AI-modelmarktplaatsen
Assessing security risks in cloud AI model marketplaces including AWS Bedrock Model Garden, Azure AI Model Catalog, GCP Vertex AI Model Garden, and Hugging Face Hub, covering supply chain attacks, trojan models, and verification gaps.
Beveiligingsbeoordeling van GCP Vertex AI
Security assessment methodology for GCP Vertex AI covering IAM bindings, VPC Service Controls, Model Garden risks, and detection strategies for Gemini API abuse.
Strategie voor multi-cloud AI-beveiliging
Designing and implementing a unified security strategy for organizations using AI services across AWS, Azure, and GCP, covering policy normalization, centralized monitoring, and cross-cloud incident response.
Configuratie van private endpoints voor AI-services
Configuring and validating private endpoints for cloud AI services across AWS, Azure, and GCP to eliminate public internet exposure and enforce network-level access controls.