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Skillsazure-content-safety

azure-content-safety

Security & auditing

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Updated 10-16 09:59

About this skill

Content Safety in Foundry Control Plane Skill

This skill provides expert guidance for Content Safety in Foundry Control Plane. Covers troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. It combines local quick-reference content with remote documentation fetching capabilities.

How to Use This Skill

IMPORTANT for Agent: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g., L35-L120), use read_file with the specified lines. For categories with file links (e.g., [security.md](security.md)), use read_file on the linked reference file

IMPORTANT for Agent: If metadata.generated_at is more than 3 months old, suggest the user pull the latest version from the repository. If mcp_microsoftdocs tools are not available, suggest the user install it: Installation Guide

This skill requires network access to fetch documentation content:

  • Preferred: Use mcp_microsoftdocs:microsoft_docs_fetch with query string from=learn-agent-skill. Returns Markdown.
  • Fallback: Use fetch_webpage with query string from=learn-agent-skill&accept=text/markdown. Returns Markdown.

Category Index

Category Lines Description
Troubleshooting L37-L41 Diagnosing and resolving Azure AI Content Safety API errors, including HTTP status codes, common failure causes, and recommended fixes or retries.
Best Practices L42-L46 Tuning Content Safety thresholds, categories, and prompts to reduce misclassifications, plus strategies to balance safety, recall, and user experience.
Decision Making L47-L52 Guidance on migrating apps from Content Safety preview to GA and deciding when and how to use limited-access Content Safety features and models.
Architecture & Design Patterns L53-L57 Architectural guidance for combining cloud, hybrid, and on-device Azure AI Content Safety, including design patterns, deployment options, and integration strategies.
Limits & Quotas L58-L66 Limits, quotas, and regional caps for Content Safety/Moderator (image & term lists, custom categories, code protected-material checks) and how to configure or stay within them.
Security L67-L71 Details on how Azure AI Content Safety encrypts data at rest, including encryption models, key management options, and compliance/security considerations.
Configuration L72-L77 Configuring Content Safety runtime via Docker containers and setting up/managing text blocklists to customize and enforce content filtering rules
Integrations & Coding Patterns L78-L83 Using Content Safety APIs in code, including media provenance detection and groundedness checks, with request patterns, parameters, and integration examples.
Deployment L84-L89 How to install, configure, and run Azure AI Content Safety Docker containers for text, image, and prompt shield analysis in your own environment.

Troubleshooting

Topic URL
Resolve Azure AI Content Safety API error codes https://learn.microsoft.com/en-us/azure/ai-services/content-safety/concepts/response-codes

Best Practices

Topic URL
Reduce false positives and negatives in Content Safety https://learn.microsoft.com/en-us/azure/ai-services/content-safety/how-to/improve-performance

Decision Making

Topic URL
Migrate apps from Content Safety preview to GA https://learn.microsoft.com/en-us/azure/ai-services/content-safety/how-to/migrate-to-general-availability
Decide when to use limited access Content Safety features https://learn.microsoft.com/en-us/azure/ai-services/content-safety/limited-access

Architecture & Design Patterns

Topic URL
Design hybrid and on-device Content Safety solutions https://learn.microsoft.com/en-us/azure/ai-services/content-safety/how-to/embedded-content-safety

Limits & Quotas

Topic URL
Apply image list quotas in Content Moderator https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/image-lists-quickstart-dotnet
Understand Content Moderator image and term list limits https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/samples-dotnet
Create and train custom categories with Content Safety https://learn.microsoft.com/en-us/azure/ai-services/content-safety/quickstart-custom-categories
Use protected material detection for code outputs https://learn.microsoft.com/en-us/azure/ai-services/content-safety/quickstart-protected-material-code
Review Azure AI Content Safety regional limits https://learn.microsoft.com/en-us/azure/ai-services/content-safety/region-availability

Security

Topic URL
Understand data-at-rest encryption in Content Safety https://learn.microsoft.com/en-us/azure/ai-services/content-safety/how-to/encrypt-data-at-rest

Configuration

Topic URL
Configure and run Azure AI Content Safety Docker containers https://learn.microsoft.com/en-us/azure/ai-services/content-safety/how-to/containers/install-run-container
Configure and use text blocklists in Content Safety https://learn.microsoft.com/en-us/azure/ai-services/content-safety/how-to/use-blocklist

Integrations & Coding Patterns

Topic URL
Use Content Provenance Detection API for media https://learn.microsoft.com/en-us/azure/ai-services/content-safety/how-to/how-to-provenance-detection
Use Azure AI Content Safety groundedness detection API https://learn.microsoft.com/en-us/azure/ai-services/content-safety/quickstart-groundedness

Deployment

Topic URL
Deploy image analysis Content Safety container with Docker https://learn.microsoft.com/en-us/azure/ai-services/content-safety/how-to/containers/image-container
Run Prompt Shields Content Safety container for prompt attacks https://learn.microsoft.com/en-us/azure/ai-services/content-safety/how-to/containers/prompt-shields-container
Deploy text analysis Content Safety container with Docker https://learn.microsoft.com/en-us/azure/ai-services/content-safety/how-to/containers/text-container