| Vendor / publisher | Microsoft | Google Cloud |
| Type | Commercial · Safety-critical AI platform | Commercial · Safety-critical AI platform |
| Official site | https://learn.microsoft.com/en-us/azure/ai-services/content-safety/overview | https://docs.cloud.google.com/model-armor/overview |
| Industries (cited page) | Cross-industry | Cross-industry |
| Frameworks named on cited source | None tagged | None tagged |
| Open source (OSI license on official repo) | Not an OSI-licensed official repo on this listing | Not an OSI-licensed official repo on this listing |
| Summary (from listing) | Azure service with text and image APIs that detect sexual content, violence, hate and self-harm, plus Prompt Shields, groundedness detection, protected-material scanning and a Task adherence API. F0 and S0 tiers. | Google Cloud service that screens LLM prompts and responses for responsible-AI safety categories, prompt injection and jailbreak, and sensitive data. Templates set confidence thresholds. Works on Google Cloud or other cloud providers. |
| Last verified | 2026-10-14 | 2026-10-14 |
| Cited coverage (counts only) | No cited coverage cells in this bundle | No cited coverage cells in this bundle |
| Analyst assessments (counts only) | Analyst assessment: 2 NIST AI RMF functions or subcategories — see which with Pro | Analyst assessment: 1 NIST AI RMF function or subcategory — see which with Pro |