Guidance for Azure AI Content Safety — programmatic content moderation for text, images, multimodal, and generative AI guardrails. Covers Content Safety categories (hate, violence, sexual, self-harm) with severity levels, Prompt Shields for jailbreak and indirect prompt injection detection, groundedness detection (hallucination check vs grounding sources), protected material detection (text and code), custom categories, blocklists, Content Safety Studio for tuning, integration with Azure OpenAI as input/output filters (built-in plus custom), latency/cost trade-offs, agent guardrails, and deployment patterns (sidecar in app, integrated with Azure OpenAI). WHEN: Azure AI Content Safety, prompt shields, jailbreak detection, indirect prompt injection, groundedness check, protected material detection, content moderation, generative AI guardrails, harmful content categories, custom blocklist AI, agent guardrail. DO NOT USE for AI workload threat detection / SOC alerts (use defender-for-cloud-ai), end-user AI usage governance (use purview-ai-hub), or general AI app design unrelated to safety.
How to install azure-ai-content-safety?
vinayaklatthe/microsoft-security-skills/azure-ai-content-safety
$npx -y skills add vinayaklatthe/microsoft-security-skills --skill azure-ai-content-safetyInstalls into the current project.
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Run `npx skills use "https://github.com/vinayaklatthe/microsoft-security-skills" --skill "vinayaklatthe/microsoft-security-skills/azure-ai-content-safety"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/vinayaklatthe/microsoft-security-skills" that are relevant to the current task. Run `npx skills add "https://github.com/vinayaklatthe/microsoft-security-skills"` and select the relevant skills, then follow their instructions.
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