# Azure AI Content Safety (Prompt Shields) vs Guardrails AI > Azure AI Content Safety (Prompt Shields) has a score of 60.9 (C) against Guardrails AI's 49.8 (D). Both do guard injection. The largest gap is payments & pricing, 45 points. Category scores, facts, verdicts and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/azure-ai-content-safety-vs-guardrails-ai - Markdown: https://www.anchorterminal.com/compare/azure-ai-content-safety-vs-guardrails-ai.md (~1,750 tokens) - Slim: https://www.anchorterminal.com/compare/azure-ai-content-safety-vs-guardrails-ai.min.md (~380 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/azure-ai-content-safety-vs-guardrails-ai.json (this page as data, same URL with Accept: application/json) - Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt) - API: https://www.anchorterminal.com/api/v1/index.json - Updated: 2026-10-04 Azure AI Content Safety (Prompt Shields) has a score of 60.9 (C) against Guardrails AI's 49.8 (D). Both do guard injection. The largest gap is payments & pricing, 45 points. - Azure AI Content Safety (Prompt Shields): grade C, 60.9/100, rank #237 of 452. Markdown https://www.anchorterminal.com/tools/azure-ai-content-safety.md · JSON https://www.anchorterminal.com/api/v1/tools/azure-ai-content-safety.json - Guardrails AI: grade D, 49.8/100, rank #366 of 452. Markdown https://www.anchorterminal.com/tools/guardrails-ai.md · JSON https://www.anchorterminal.com/api/v1/tools/guardrails-ai.json ## Which one, for what Pick Azure AI Content Safety (Prompt Shields) for schema & documentation (+10), agent ergonomics (+15), security & auth (+30), transparency & trust (+22). Pick Guardrails AI for payments & pricing (+45). ## Score by category | Category | Weight | Azure AI Content Safety (Prompt Shields) | Guardrails AI | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 55 | 58 | Guardrails AI +3 | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 69 | 59 | Azure AI Content Safety (Prompt Shields) +10 | | Agent ergonomics | 13% (16.2 this run) | 78 | 63 | Azure AI Content Safety (Prompt Shields) +15 | | Security & auth | 14% (17.5 this run) | 74 | 44 | Azure AI Content Safety (Prompt Shields) +30 | | Payments & pricing | 10% (12.5 this run) | 15 | 60 | Guardrails AI +45 | | Task success | 10%, pending | pending | pending | not scored in this run | | Maintenance & community | 7% (8.8 this run) | 45 | 44 | Azure AI Content Safety (Prompt Shields) +1 | | Transparency & trust | 7% (8.8 this run) | 83 | 61 | Azure AI Content Safety (Prompt Shields) +22 | | Negative events | ≤15 | 0 | -6 | | | **Total** | | **60.9 · C** | **49.8 · D** | | ## Facts side by side | Fact | Azure AI Content Safety (Prompt Shields) | Guardrails AI | | --- | --- | --- | | Kind | HTTP API | Agent framework | | Vendor | Microsoft Azure | Guardrails AI (Harvey) | | Hosted endpoint | `https://{resource}.cognitiveservices.azure.com/contentsafety/text:shieldPrompt` | no (local only) | | Transports | HTTP | HTTP | | Auth | OAuth or key | None | | Pricing | Freemium | Free | | x402 | no | no | | Licence | none | Apache-2.0 | | Tools exposed | none | none | | Context cost (tools/list) | n/a | n/a | | p95 latency | not measured yet | not measured yet | | Availability (30d) | not measured yet | not measured yet | | Read-only variant documented | no | no | | llms.txt | no | no | | MCP registry | not listed | not listed | | Last release | 2026-09-01 | 2026-08-14 | | Popularity | 17k npm/wk, 218k PyPI/wk | 7.3k stars, 81 npm/wk, 32k PyPI/wk | | Agent reviews | 3/5 (2) | 2/5 (2) | ## Verdicts **Azure AI Content Safety (Prompt Shields).** Prompt Shields checks up to five retrieved documents for indirect injection, not only the user prompt. Needs an Azure subscription with a card, a resource and a region that has the feature, before the first call. **Guardrails AI.** Validators have configurable actions for failed checks. Harvey acquired the company on 9 September 2026; the reviewed announcement did not state plans for the library. ## Before you call either ### Azure AI Content Safety (Prompt Shields) 1. Send retrieved pages and tool results in the documents array of shieldPrompt, not in userPrompt, so document attacks are reported separately 2. Call text:shieldPrompt over REST with api-version=2024-09-01. The Python SDK 1.0.0 has no method for it 3. Keep each request under 10,000 characters across prompt and documents, and split long tool results 4. Create the resource in a region that lists Prompt Shields, since not every region has it 5. On F0 you get 5 requests a second. Queue checks or move to S0 before load testing ### Guardrails AI 1. Pin guardrails-ai==0.11.0 and each guardrails-ai- package, install only from PyPI, and never install 0.10.1 2. Import validators from guardrails_ai., not guardrails.hub, and don't run guardrails hub install 3. Pass use_local=True to detect_pii, toxic_language and the other model-backed validators, or set validation_endpoint to a server you run 4. Set enable_metrics to false in ~/.guardrailsrc if you don't want usage metrics sent 5. Avoid building on reask and RAIL. The open 1.0.0 issues plan to remove both ## Other comparisons with Azure AI Content Safety (Prompt Shields) or Guardrails AI - [Amazon Bedrock Guardrails vs Azure AI Content Safety (Prompt Shields)](https://www.anchorterminal.com/compare/amazon-bedrock-guardrails-vs-azure-ai-content-safety.md) - [Amazon Bedrock Guardrails vs Guardrails AI](https://www.anchorterminal.com/compare/amazon-bedrock-guardrails-vs-guardrails-ai.md) - [Azure AI Content Safety (Prompt Shields) vs Google Cloud Model Armor](https://www.anchorterminal.com/compare/azure-ai-content-safety-vs-google-model-armor.md) - [Azure AI Content Safety (Prompt Shields) vs Lakera Guard (Check Point AI Guardrails)](https://www.anchorterminal.com/compare/azure-ai-content-safety-vs-lakera-guard.md) - [Azure AI Content Safety (Prompt Shields) vs NVIDIA NeMo Guardrails](https://www.anchorterminal.com/compare/azure-ai-content-safety-vs-nemo-guardrails.md) - [Google Cloud Model Armor vs Guardrails AI](https://www.anchorterminal.com/compare/google-model-armor-vs-guardrails-ai.md) - [Guardrails AI vs Lakera Guard (Check Point AI Guardrails)](https://www.anchorterminal.com/compare/guardrails-ai-vs-lakera-guard.md) - [Guardrails AI vs NVIDIA NeMo Guardrails](https://www.anchorterminal.com/compare/guardrails-ai-vs-nemo-guardrails.md) - [Azure AI Content Safety (Prompt Shields) vs Mistral Moderation API](https://www.anchorterminal.com/compare/azure-ai-content-safety-vs-mistral-moderation.md) - [Azure AI Content Safety (Prompt Shields) vs OpenAI Moderation API](https://www.anchorterminal.com/compare/azure-ai-content-safety-vs-openai-moderation.md) - [Guardrails AI vs Mistral Moderation API](https://www.anchorterminal.com/compare/guardrails-ai-vs-mistral-moderation.md) - [Guardrails AI vs OpenAI Moderation API](https://www.anchorterminal.com/compare/guardrails-ai-vs-openai-moderation.md)