# gcp
26 artikelengetagd met “gcp”
Cloud-AI-beveiliging oefenexamen 1
Practice exam covering AWS Bedrock, Azure OpenAI, and GCP Vertex AI security assessments.
Geavanceerd beveiligingsassessment van cloud-AI
15-question advanced assessment covering cloud AI attack surfaces across AWS, Azure, and GCP: guardrail bypass, knowledge base exploitation, managed identity abuse, model customization risks, and multi-cloud attack paths.
Beveiligingsassessment van cloud-AI
Test your knowledge of AWS, Azure, and GCP AI service security with 15 intermediate-level questions covering cloud-specific attack surfaces and misconfigurations.
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.
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.
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.
GCP IAM voor AI-services
IAM exploitation patterns for GCP AI services: service account exploitation, Workload Identity abuse, VPC Service Controls for AI, and privilege escalation through Vertex AI permissions.
Beveiligingsoverzicht van GCP AI-services
Red team methodology for GCP AI services including Vertex AI, Model Garden, and AI Platform: service enumeration, service account exploitation, and attack surface mapping.
Risico's van Model Garden
Security risks of deploying models from GCP Model Garden: third-party model trust, model provenance verification, deployment from untrusted sources, and supply chain attack vectors.
Aanvalsoppervlak van Vertex AI
Red team methodology for Vertex AI: prediction endpoint abuse, custom training security gaps, feature store poisoning, model monitoring evasion, and pipeline exploitation.
Dreigingsanalyse van GCP AI Platform
Threat analysis of GCP AI platform services including AutoML, custom training, and prediction endpoints.
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.
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.
Beveiligingsgids voor GCP Vertex AI
Security guide for GCP Vertex AI including model garden, endpoints, and Gemini API security.
Beveiliging van cloud-AI
Comprehensive overview of cloud AI security for red teamers: shared responsibility models, attack surfaces across AWS, Azure, and GCP AI services, threat models for model APIs, data pipelines, and inference endpoints.
Vergelijkingsmatrix van beveiligingscontroles
Side-by-side comparison of AWS, Azure, and GCP AI security controls: IAM patterns, content filtering, guardrails, network isolation, logging, and threat detection across cloud providers.
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.
GCP Vertex AI-aanvalsoppervlak
Beveiligingsbeoordeling van Google Cloud Vertex AI -- exploitatie van serviceaccounts, endpointbeveiliging, notebook-aanvallen en pijplijnmanipulatie.
Cheatsheet voor cloud-AI-beveiliging
Snelle referentie die AI-beveiligingscontroles vergelijkt tussen AWS, Azure en GCP -- met IAM, netwerken, encryptie, monitoring en AI-specifieke diensten.
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.
Red team-walkthrough van Vertex AI (platform-walkthrough)
Complete red team walkthrough for Google Vertex AI: testing prediction endpoints, Model Garden assessments, Feature Store probing, and exploiting Vertex AI Agents and Extensions.
GCP Vertex AI-deployments testen
Red team testing guide for models deployed via GCP Vertex AI including Model Garden and custom endpoints.