What is Azure AI Content Safety?
Azure AI Content Safety is a Microsoft Azure AI service for detecting and filtering harmful content in text and images. The service is part of Foundry Tools and provides several specialized APIs: the Analyze Text and Analyze Image APIs detect hate speech, sexual content, violence, and self-harm with graduated severity levels. In addition, there is Prompt Shields for detecting jailbreak attempts against LLMs, Groundedness Detection (preview) for checking whether LLM responses are supported by provided source material, and Protected Material Detection for identifying known protected content (such as song lyrics) in AI-generated text.
The service is a core building block for Responsible AI: it protects both user-generated content on platforms and AI-generated outputs. Content Safety is natively integrated into Azure OpenAI Service and automatically filters prompts and responses there. The interactive Content Safety Studio lets you test thresholds, manage blocklists, and monitor moderation performance.
Important: Azure AI Content Safety is not designed for and must not be used to detect child sexual abuse material (CSAM).
Core Features
- Text and image analysis for the categories hate speech, sexual content, violence, and self-harm with configurable severity levels
- Prompt Shields for detecting prompt injection and jailbreak attempts
- Groundedness Detection (preview) for checking the factual grounding of LLM responses against source documents
- Protected Material Detection for text and code
- Custom Categories (standard and rapid, preview) for industry-specific detection patterns
- Blocklist management for prohibited terms, plus Content Safety Studio for testing and monitoring
Typical Use Cases
Social media platforms and community forums use Content Safety for automated moderation. User-generated content is analyzed, and critical content is flagged for manual review or automatically removed.
Companies building LLM applications or agents deploy Content Safety as a guard layer: Prompt Shields prevent jailbreak attacks, Groundedness Detection reduces hallucinations in RAG applications, and standard analysis prevents harmful model outputs.
Gaming platforms protect players from toxic chat messages and use image analysis to detect inappropriate avatars or screenshots.
Media and education providers use Custom Categories to filter industry-specific content, such as impermissible financial or health-related claims.
Benefits
- Scalable moderation for large volumes of text and image content
- Specialized APIs for LLM-specific risks such as jailbreaks and hallucinations
- Consistent application of community and compliance policies
- Native integration with Azure OpenAI Service and other Foundry Tools
- Interactive Studio interface for configuration, testing, and monitoring without in-house ML effort
Integration with innFactory
As a Microsoft Solutions Partner, innFactory supports you with Azure AI Content Safety: policy design, threshold optimization, Custom Categories, and integration into your platform or LLM application.
Contact us for a non-binding consultation on Azure AI Content Safety and Microsoft Azure.
Typical Use Cases
Frequently Asked Questions
What is Azure AI Content Safety?
Azure AI Content Safety is a Microsoft Azure AI service for detecting harmful user-generated or AI-generated content in text and images. It is part of Foundry Tools and is used, among other things, to check prompts and responses of LLM applications as well as user-generated content on platforms.
Which categories does Content Safety detect?
The Analyze Text and Analyze Image APIs detect hate speech, sexual content, violence, and self-harm with multiple severity levels. The service also offers specialized APIs such as Prompt Shields (jailbreak detection), Groundedness Detection (preview), and Protected Material Detection.
Can I define custom categories?
Yes, Custom Categories (standard and rapid, both currently in preview) let you train your own industry-specific content categories and apply them to text, or to text and images.
How do I integrate Content Safety with Azure OpenAI or Foundry Agent Service?
Content Safety is natively integrated into Azure OpenAI Service; input and output filters are automatically active there. For agents and custom LLM applications, the Content Safety API can additionally be called as a standalone guard layer, for example for Prompt Shields or Groundedness Detection.
Does Content Safety support images and video?
Text and image analysis are natively supported, including a multimodal API (preview) for text-image combinations. For video, individual frames must be extracted and analyzed separately; the service does not offer a native video API.
What does Azure AI Content Safety cost?
The service is billed on a usage basis, with a free F0 tier for low request volumes and an S0 tier for production workloads with higher rate limits. Exact per-transaction prices are listed on the official pricing page.
Note: All product information on this page has been compiled with care, but is provided without guarantee and may be outdated or incomplete. Cloud services evolve rapidly — features, pricing, SLAs, and availability change frequently. Authoritative and up-to-date information can only be found on the official product page of Azure (official documentation). This page does not represent an offer by Azure.
