Google Cloud → AWS and Azure
AWS and Azure equivalents of Model Armor
The closest AWS equivalents of Google Cloud Model Armor are Amazon Bedrock Guardrails, Amazon Rekognition and Amazon Comprehend; on Azure, Foundry guardrails (content filters) and Azure AI Content Safety.
About Model Armor
| Provider | Google Cloud |
|---|---|
| Status | Generally available |
| What it is | Screens prompts and responses for prompt injection, jailbreaks, harmful content, sensitive data, and malicious URLs, for any model. |
| Documentation | docs.cloud.google.com |
| Pricing | Official pricing page |
Mappings (2)
| Capability | AWS | Match (GCP vs AWS) | Azure |
|---|---|---|---|
| GenAI guardrails & content safety | Amazon Bedrock Guardrails | Direct match | Foundry guardrails (content filters), Azure AI Content Safety |
| Image & text content moderation | Amazon Rekognition, Amazon Comprehend | Partial match | Azure AI Content Safety |
GenAI guardrails & content safety Direct match
Bedrock Guardrails maps to Model Armor, which screens prompts and responses for prompt injection, jailbreaks, harmful content, sensitive data, and malicious URLs. Gemini also has built-in, configurable safety filters.
- Model Armor works with any model and is configured through reusable templates.
- Gemini safety filters are configured per request and are separate from Model Armor.
- Sensitive-data screening uses Sensitive Data Protection.
Image & text content moderation Partial match
Rekognition and Comprehend moderation map to Cloud Vision SafeSearch for images, Natural Language moderateText for text, and Model Armor for AI prompts and responses.
- Moderation is spread across three products instead of two.
- SafeSearch returns likelihoods per category (adult, violence, racy, and more) rather than a moderation label taxonomy.