# azure
32 artikelengetagd met “azure”
Cloud-AI-forensics: Azure
Forensische onderzoekstechnieken voor Azure AI-diensten waaronder Azure OpenAI, Azure ML en Cognitive Services, met diagnostische logging en bewijsverzameling.
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.
Misbruik van Azure ML
Red team attack methodology for Azure Machine Learning: workspace security, compute instance attacks, pipeline poisoning, model registry tampering, and data store exploitation.
Aanvalsoppervlak van Azure OpenAI
Red team methodology for Azure OpenAI Service: content filtering bypass, PTU security, deployment misconfiguration, managed identity abuse, and prompt flow exploitation.
Defender for AI omzeilen
Red team techniques for understanding and bypassing Microsoft Defender for AI: detection capabilities, alert analysis, bypass strategies, coverage gaps, and alert fatigue exploitation.
Overzicht van Azure AI Services-beveiliging
Red team methodology for Azure AI services including Azure OpenAI, Azure ML, AI Studio, and Cognitive Services: service enumeration, managed identity abuse, and attack surface mapping.
Beveiligingsgids voor Azure AI Foundry
Comprehensive security guide for Azure AI Foundry including model deployment, prompt flow, and content safety.
Beveiligingsassessment van Azure AI Studio
Security assessment of Azure AI Studio including prompt flow, model catalog, and deployment security.
Testen van Azure AI Content Safety
Testing Azure AI Content Safety service for bypass vulnerabilities and configuration weaknesses.
Beveiligingsgids voor Azure OpenAI
Security guide for Azure OpenAI Service including content filtering, managed identity, and network isolation.
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.
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.
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.
Content Safety-API's (Azure, OpenAI, Google)
Gedetailleerde vergelijking van Azure Content Safety, de OpenAI Moderation API en de safety-aanbiedingen van Google Cloud, inclusief API-structuren, categorietaxonomieën, severityniveaus, testmethodologie en veelvoorkomende hiaten.
Prompt Shields & injectiedetectie
Hoe Azure Prompt Shield en speciale injectiedetectiemodellen werken, hun detectiepatronen op basis van fijngestelde classifiers, en systematische benaderingen om ze te omzeilen.
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.
Lab: ontwijking van het Azure-contentfilter
Hands-on lab for mapping and testing Azure OpenAI Service content filtering categories, severity levels, and bypass techniques.
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.
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
Complete red team walkthrough for Azure OpenAI deployments: testing content filters, managed identity exploitation, prompt flow injection, data integration attacks, and Azure Monitor evasion.
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.
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.
Beveiligingstesten van Microsoft Semantic Kernel
End-to-end walkthrough for security testing Semantic Kernel applications: kernel enumeration, plugin exploitation, planner manipulation, memory and RAG assessment, and Azure integration security review.
De Azure OpenAI Service testen
Red team testing guide for Azure OpenAI including content filtering, managed identity, and network controls.
PyRIT integreren met Azure OpenAI en Content Safety
Intermediate walkthrough on integrating PyRIT with Azure OpenAI Service and Azure AI Content Safety for enterprise red teaming, including managed identity authentication, content filtering analysis, and compliance reporting.