# vertex-ai
標記為「vertex-ai」的 22 篇文章
GCP IAM for 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.
GCP AI Services Security Overview
Red team methodology for GCP AI services including Vertex AI, Model Garden, and AI Platform: service enumeration, service account exploitation, and attack surface mapping.
Vertex AI Attack Surface
Red team methodology for Vertex AI: prediction endpoint abuse, custom training security gaps, feature store poisoning, model monitoring evasion, and pipeline exploitation.
GCP Vertex AI Security Assessment
Security assessment methodology for GCP Vertex AI covering IAM bindings, VPC Service Controls, Model Garden risks, and detection strategies for Gemini API abuse.
GCP Vertex AI Security Guide
Security guide for GCP Vertex AI including model garden, endpoints, and Gemini API security.
GCP Vertex AI Attack Surface
Security assessment of Google Cloud Vertex AI -- service account exploitation, endpoint security, notebook attacks, and pipeline manipulation.
Gemini Testing Methodology
Systematic methodology for red teaming Gemini, including Vertex AI API probing, Google AI Studio testing, multimodal test case design, and grounding attack validation.
GCP Vertex AI Security Testing
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.
Vertex AI Red Team Walkthrough
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.
Vertex AI Red Team Walkthrough (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.
Testing GCP Vertex AI Deployments
Red team testing guide for models deployed via GCP Vertex AI including Model Garden and custom endpoints.
GCP IAM for 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.
GCP AI 服務安全概觀
GCP AI 服務（包括 Vertex AI、Model Garden 與 AI Platform）之紅隊方法論：服務枚舉、服務帳號攻擊，以及攻擊面繪製。
Vertex AI 攻擊面
為 Vertex AI 之紅隊方法論：預測端點濫用、自訂訓練安全缺口、特徵儲存投毒、模型監控逃避與管線利用。
GCP Vertex AI 安全 評量
安全 assessment methodology for GCP Vertex AI covering IAM bindings, VPC Service Controls, 模型 Garden risks, and detection strategies for Gemini API abuse.
GCP Vertex AI 安全 指南
安全 guide for GCP Vertex AI including model garden, endpoints, and Gemini API security.
GCP Vertex AI 攻擊 Surface
安全 assessment of Google Cloud Vertex AI -- service account exploitation, endpoint security, notebook attacks, and pipeline manipulation.
Gemini Testing Methodology
Systematic methodology for red teaming Gemini, including Vertex AI API probing, Google AI Studio testing, multimodal test case design, and grounding attack validation.
GCP Vertex AI 安全 Testing
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.
Vertex AI 紅隊 導覽
End-to-end walkthrough for red teaming Google Cloud Vertex AI: prediction endpoint testing, 模型 Garden security assessment, Feature Store probing, and Cloud Logging analysis.
Vertex AI 紅隊 導覽 (Platform 導覽)
Complete red team walkthrough for Google Vertex AI: testing prediction endpoints, 模型 Garden assessments, Feature Store probing, and exploiting Vertex AI 代理s and Extensions.
Testing GCP Vertex AI Deployments
Red team testing guide for models deployed via GCP Vertex AI including 模型 Garden and custom endpoints.