{ "data": { "a": { "slug": "granite-guardian", "name": "Granite Guardian", "vendor": "IBM", "vendorUrl": "https://www.ibm.com/granite", "kind": "model", "category": "guardrails", "summary": "Granite Guardian is IBM's family of open-weight judge models. The current 8-billion-parameter release answers yes or no on whether a prompt, response, retrieved context or function call meets a built-in or custom criterion, and the owner runs it.", "url": "https://www.anchorterminal.com/tools/granite-guardian", "markdownUrl": "https://www.anchorterminal.com/tools/granite-guardian.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/granite-guardian.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/granite-guardian.json", "repo": "https://github.com/ibm-granite/granite-guardian", "license": "Apache 2.0 for the weights and the repository", "transports": [ "http" ], "packages": [], "auth": "none", "authNotes": "No account or key is needed to download or run the model. The Hugging Face repository is not gated. A vLLM or Ollama server has whatever authentication the owner adds.", "pricing": "free", "pricingNotes": "Free to download and run under the Apache 2.0 licence, with the owner's hardware as the cost. IBM's watsonx.ai lists only the earlier `ibm/granite-guardian-3-8b`, marked deprecated, at $0.0002 per 1,000 input or output tokens (checked 2026-10-08). Version 4.1 is not on that list.", "priceSummary": "Free", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402. Granite Guardian is a model the owner runs, with no payment route (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 182, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-08" }, "docsUrl": "https://www.ibm.com/granite/docs/models/guardian", "capabilities": [ "guard.moderation", "guard.policy", "guard.injection", "guard.self-host" ], "tags": [ "model", "open-weights", "self-hosted", "local", "free", "apache-2.0", "judge", "rag", "python", "ollama" ], "lastRelease": "2026-04-29", "graded": true, "anchor": { "graded": true, "score": 60.1, "grade": "C", "agentReady": false, "rank": 478, "ranked": true, "rankOf": 842, "categoryRank": 10, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 69, "maintenance": 47, "payments": 60, "reliability": 56, "schema": 60, "security": 58, "transparency": 70 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": 0, "verdict": "One ungated Apache 2.0 model judges harm, jailbreaks, RAG groundedness, function-call errors and custom criteria, with signed weights and published evaluation code. It is trained and tested on English only, each call checks one criterion, the 4.1 prompt format differs from 3.x, and IBM's watsonx.ai lists only the deprecated 3.0 model.", "bestFor": "A team with a GPU that wants one English-language judge for harm, jailbreaks, RAG groundedness, function-call checks and house rules, under a permissive licence with no gate.", "strengths": [ "Weights are ungated on Hugging Face under the Apache 2.0 licence, with IBM's own GGUF builds and an Ollama library entry", "Built-in criteria cover harm, social bias, jailbreaking, violence, profanity, sexual content, unethical behaviour, three RAG checks and function-call hallucination", "A custom criterion is one natural-language sentence in the prompt, and the answer is `yes` or `no` inside `\u003cscore\u003e` tags", "The repository's `evaluation` folder reproduces the card's benchmark figures for versions 3.0 to 4.1", "Weights carry a sigstore signature in `model.sig`, and IBM documents how to verify it" ], "weaknesses": [ "Trained and tested on English only, per the model card", "Each call judges one criterion, so checking several risks takes several calls or a separate LoRA adapter built on the 3.2 model", "Version 4.1 moved the criterion into a `\u003cguardian\u003e` block in the last user message, where 3.x cookbooks pass `guardian_config`", "The repository has no CI, no tests and no `SECURITY.md`, and an issue asking for one has been open since 9 February 2025", "The card's out-of-distribution safety F1 is 0.79 without thinking, below the 0.81 it reports for version 3.3", "IBM's watsonx.ai model list has only `ibm/granite-guardian-3-8b`, marked deprecated, so 4.1 has no hosted endpoint from IBM that we found" ], "agentNotes": [ "Append the `\u003cguardian\u003e` block as the final user message, with the mode line, `### Criteria:` and `### Scoring Schema:`. Copy the strings from the model card, because no package builds them", "Use the no-think instruction for gating and parse `\u003cscore\u003e`. Think mode writes a reasoning trace first, and the card's examples allow up to 2,048 output tokens", "Treat `yes` as the criterion being met, which for built-in criteria means the risk is present. Treat a missing `\u003cscore\u003e` tag as a failed check", "Pass retrieved text through `documents=` and tool schemas through `available_tools=` in `apply_chat_template`, not inside the message text", "Under Ollama, set `num_ctx` in the request options. IBM's docs say the default context is short and long requests are truncated" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 60.1 } ], "editorialScores": { "ergonomics": 69, "maintenance": 47, "payments": 60, "reliability": 56, "schema": 60, "security": 58, "transparency": 67 }, "provenanceScore": 73 }, "connect": { "install": "pip install transformers torch vllm", "http": "curl http://localhost:11434/api/chat \\\n -d '{\"model\": \"granite4.1-guardian:8b\", \"messages\": [{\"role\": \"user\", \"content\": \"Hello!\"}]}'" }, "letme": { "capability": "https://letme.dev/guard.moderation", "tool": "https://letme.dev/granite-guardian" }, "area": "models", "provenance": { "legalEntity": "International Business Machines Corporation", "domain": "ibm.com", "domainRegistered": "1986-03-19", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "", "securityTxt": "valid", "checked": "2026-10-08", "notes": [ "IBM's naming guidance for Granite names International Business Machines Corporation as the developer and trademark owner.", "The Apache 2.0 licence in the repository is the document that governs use of the weights, so it is recorded as the terms. The Hugging Face repository declares the same licence in its metadata and has no licence file of its own.", "No privacy policy governs the model, because the owner runs it and no input reaches IBM. The privacy field is left out.", "www.ibm.com/.well-known/security.txt is present with PSIRT, HackerOne and email contacts and expires on 8 November 2026.", "RDAP gives 19 March 1986 as the registration date of ibm.com.", "IBM hosts no endpoint for version 4.1 that we found, so there is no status page. The repository has no changelog file. Dated notes sit in the README under What's New.", "Weights are on huggingface.co under the ibm-granite organisation and the code is at github.com/ibm-granite/granite-guardian, both off ibm.com." ], "score": 73 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/granite-guardian.json" }, "answer": "Presidio scores 66 (B) on agent readiness against Granite Guardian's 60.1 (C), and leads in 3 of 7 scored categories. Granite Guardian leads on security \u0026 auth and transparency \u0026 trust.", "b": { "slug": "microsoft-presidio", "name": "Presidio", "vendor": "Data Privacy Stack", "vendorUrl": "https://dataprivacystack.org", "kind": "sdk", "category": "guardrails", "summary": "Open-source Python library and Docker services that detect personal data in text and images and replace, mask, hash or encrypt it. Created at Microsoft and run since June 2026 by the community organisation Data Privacy Stack.", "url": "https://www.anchorterminal.com/tools/microsoft-presidio", "markdownUrl": "https://www.anchorterminal.com/tools/microsoft-presidio.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/microsoft-presidio.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/microsoft-presidio.json", "repo": "https://github.com/data-privacy-stack/presidio", "license": "MIT", "transports": [ "http" ], "packages": [ { "registry": "pypi", "name": "presidio-analyzer" }, { "registry": "pypi", "name": "presidio-anonymizer" }, { "registry": "pypi", "name": "presidio-image-redactor" }, { "registry": "pypi", "name": "presidio" } ], "auth": "none", "authNotes": "None. The Python library runs in the caller's process, and the REST containers accept any caller. The FAQ states the endpoints have no built-in authentication by design and should sit behind a gateway, reverse proxy or service mesh (https://presidio.dataprivacystack.org/faq/). Optional recognisers that call Azure AI Language, Azure Health Data Services or a language model take those services' own credentials.", "pricing": "free", "pricingNotes": "Free under the MIT licence, with no hosted or paid option from the project and no account needed. The cost is the compute to run it, plus any outside service an optional recogniser is configured to call (https://github.com/data-privacy-stack/presidio/blob/main/LICENSE).", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs or the source (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 11231, "npmWeekly": null, "pypiWeekly": 1217281, "asOf": "2026-10-08" }, "docsUrl": "https://presidio.dataprivacystack.org", "openapi": "https://presidio.dataprivacystack.org/api-docs/api-docs.yml", "capabilities": [ "guard.pii", "guard.self-host" ], "tags": [ "sdk", "open-source", "self-hosted", "local", "python", "free", "docker", "openapi", "pii", "community-governed" ], "lastRelease": "2026-07-22", "graded": true, "anchor": { "graded": true, "score": 66, "grade": "B", "agentReady": false, "rank": 281, "ranked": true, "rankOf": 842, "categoryRank": 6, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 69, "maintenance": 63, "payments": 60, "reliability": 78, "schema": 69, "security": 53, "transparency": 65 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": 0, "verdict": "MIT-licensed personal data detector with a public OpenAPI document, tests on Python 3.10 to 3.14 and about 1.2 million weekly PyPI downloads. The REST containers have no authentication, the project states no SLA or support, and it covers personal data only, with no prompt injection or content moderation checks.", "bestFor": "Detecting and masking personal data in prompts, outputs, logs and images on the owner's own machines, with detection tuned by entity, threshold and custom recognisers.", "strengths": [ "MIT licence, source on GitHub, and nothing to buy. No account, key or card is needed to install or run it", "OpenAPI 3.0 document for the analyser and anonymiser REST services, with request examples and 400 and 422 error shapes", "CI runs each package on Python 3.10, 3.11, 3.12, 3.13 and 3.14, with CodeQL and Dependabot configured", "Detection is tunable per call with an entity list, a score threshold, an allow list and ad hoc recognisers", "Anonymiser operators cover replace, redact, mask, hash, encrypt and custom functions, and encrypted values can be reversed with the key" ], "weaknesses": [ "The REST containers have no authentication by design. The FAQ says to put a gateway or proxy in front", "SUPPORT.md states no SLA and no official support. The project is run by volunteers since leaving Microsoft", "One release in the 90 days to 8 October 2026 (2.2.364 on 22 July), and CHANGELOG.md has no section for it", "Covers personal data only. No prompt injection, jailbreak or content moderation checks", "The README warns that detection is automated and may miss personal data, so other protections are still needed", "98 open pull requests, and most issues opened since 20 September 2026 had no reply on 8 October" ], "agentNotes": [ "Install from PyPI or pull images from ghcr.io/data-privacy-stack. The mcr.microsoft.com/presidio-* images are no longer updated", "Download a spaCy model (python -m spacy download en_core_web_lg) before the first `AnalyzerEngine()` call, or use the Docker image", "Send both text and language to `/analyze`. A request missing either returns HTTP 500 with a JSON error field", "Pass entities and score_threshold to limit results. Many country-specific recognisers are disabled by default and need enabling in the registry YAML", "Keep the containers on a private network or behind your own authenticating proxy. They accept any caller" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 66 } ], "editorialScores": { "ergonomics": 69, "maintenance": 63, "payments": 60, "reliability": 78, "schema": 69, "security": 53, "transparency": 76 }, "provenanceScore": 53 }, "connect": { "install": "pip install presidio-analyzer presidio-anonymizer\npython -m spacy download en_core_web_lg", "http": "docker run -d -p 5002:3000 ghcr.io/data-privacy-stack/presidio-analyzer:latest\ncurl -X POST http://localhost:5002/analyze \\\n -H \"Content-Type: application/json\" \\\n -d '{\"text\": \"My phone number is 555-123-4567.\", \"language\": \"en\"}'" }, "letme": { "capability": "https://letme.dev/guard.pii", "tool": "https://letme.dev/microsoft-presidio" }, "area": "models", "provenance": { "legalEntity": "Data Privacy Stack (community organisation, no legal entity stated)", "domain": "dataprivacystack.org", "domainRegistered": "2026-04-13", "domainNote": "A library and self-hosted containers, not a service. Code is on github.com under the data-privacy-stack organisation and docs on presidio.dataprivacystack.org.", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "https://github.com/data-privacy-stack/presidio/blob/main/CHANGELOG.md", "securityTxt": "none", "checked": "2026-10-08", "notes": [ "Presidio was created at Microsoft. The transition notice says it is now a community-governed project under Data Privacy Stack and is not owned or operated by a commercial entity. The blog post announcing the move is dated 29 June 2026.", "github.com/microsoft/presidio answers 301 to github.com/data-privacy-stack/presidio, and microsoft.github.io/presidio shows a moved notice.", "The LICENSE copyright line reads Presidio Contributors. The FAQ says usage terms are the repository's licence and that there is no warranty or SLA.", "No privacy policy was found on dataprivacystack.org or the docs site. Nothing is hosted, so the field is left out.", "security.txt returns 404 on dataprivacystack.org and presidio.dataprivacystack.org. SECURITY.md uses GitHub private vulnerability reporting.", "RDAP gives 2026-04-13 as the registration date of dataprivacystack.org. The repository was created on 4 May 2018." ], "score": 53 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/microsoft-presidio.json", "live": { "slug": "microsoft-presidio", "pages": [ { "url": "https://raw.githubusercontent.com/data-privacy-stack/presidio/main/CHANGELOG.md", "kind": "changelog", "status": 200, "checkedAt": "2026-10-08T18:24:05.686879193Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "609d3fe25dbc" } ], "updatedAt": "2026-10-08T18:24:05.686879193Z" } }, "facts": [ { "a": "Model API", "b": "SDK + MCP", "name": "Kind" }, { "a": "IBM", "b": "Data Privacy Stack", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP", "name": "Transports" }, { "a": "None", "b": "None", "name": "Auth" }, { "a": "Free", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache 2.0 for the weights and the repository", "b": "MIT", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "no", "name": "llms.txt" }, { "a": "2026-04-29", "b": "2026-07-22", "name": "Last release" }, { "a": "no document linked", "b": "no document linked", "name": "Terms last updated" }, { "a": "no document linked", "b": "no document linked", "name": "Privacy policy last updated" }, { "a": "", "b": "", "name": "Customer content may train models" }, { "a": "", "b": "", "name": "Terms restrict automated access" }, { "a": "", "b": "", "name": "Terms restrict benchmarking" }, { "a": "", "b": "", "name": "Terms or service can change without notice" }, { "a": "", "b": "", "name": "Arbitration or class-action waiver" }, { "a": "182 stars", "b": "11k stars, 1.2M PyPI/wk", "name": "Popularity" } ], "faq": [ { "answer": "Presidio scores 66 (B) on agent readiness against Granite Guardian's 60.1 (C), and leads in 3 of 7 scored categories. Granite Guardian leads on security \u0026 auth and transparency \u0026 trust.", "question": "Which is better for AI agents, Granite Guardian or Presidio?" }, { "answer": "No hosted endpoint is listed for Granite Guardian. No hosted endpoint is listed for Presidio.", "question": "Can an agent call Granite Guardian and Presidio without installing anything?" }, { "answer": "No open-source release is listed for Granite Guardian. Presidio is open source (MIT).", "question": "Are Granite Guardian and Presidio open source?" } ], "goodFor": [ { "aheadOn": [ "Security \u0026 auth, 58 against 53", "Transparency \u0026 trust, 70 against 65" ], "also": null, "goodFor": "A team with a GPU that wants one English-language judge for harm, jailbreaks, RAG groundedness, function-call checks and house rules, under a permissive licence with no gate.", "slug": "granite-guardian", "watchFor": "Trained and tested on English only, per the model card" }, { "aheadOn": [ "Reliability, 78 against 56", "Schema \u0026 documentation, 69 against 60", "Maintenance \u0026 community, 63 against 47" ], "also": [ "Open source" ], "goodFor": "Detecting and masking personal data in prompts, outputs, logs and images on the owner's own machines, with detection tuned by entity, threshold and custom recognisers.", "slug": "microsoft-presidio", "watchFor": "The REST containers have no authentication by design. The FAQ says to put a gateway or proxy in front" } ], "job": { "capability": "guard.self-host", "name": "Guard self host" }, "others": [ { "json": "https://www.anchorterminal.com/compare/amazon-bedrock-guardrails-vs-granite-guardian.json", "title": "Amazon Bedrock Guardrails vs Granite Guardian", "url": "https://www.anchorterminal.com/compare/amazon-bedrock-guardrails-vs-granite-guardian" }, { "json": "https://www.anchorterminal.com/compare/azure-ai-content-safety-vs-granite-guardian.json", "title": "Azure AI Content Safety (Prompt Shields) vs Granite Guardian", "url": "https://www.anchorterminal.com/compare/azure-ai-content-safety-vs-granite-guardian" }, { "json": "https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-granite-guardian.json", "title": "Cisco AI Defense Inspection API vs Granite Guardian", "url": "https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-granite-guardian" }, { "json": "https://www.anchorterminal.com/compare/google-model-armor-vs-granite-guardian.json", "title": "Google Cloud Model Armor vs Granite Guardian", "url": "https://www.anchorterminal.com/compare/google-model-armor-vs-granite-guardian" }, { "json": "https://www.anchorterminal.com/compare/granite-guardian-vs-llamafirewall.json", "title": "Granite Guardian vs LlamaFirewall", "url": "https://www.anchorterminal.com/compare/granite-guardian-vs-llamafirewall" }, { "json": "https://www.anchorterminal.com/compare/granite-guardian-vs-guardrails-ai.json", "title": "Granite Guardian vs Guardrails AI", "url": "https://www.anchorterminal.com/compare/granite-guardian-vs-guardrails-ai" }, { "json": "https://www.anchorterminal.com/compare/granite-guardian-vs-lakera-guard.json", "title": "Granite Guardian vs Lakera Guard (Check Point AI Guardrails)", "url": "https://www.anchorterminal.com/compare/granite-guardian-vs-lakera-guard" }, { "json": "https://www.anchorterminal.com/compare/granite-guardian-vs-llama-guard.json", "title": "Granite Guardian vs Llama Guard 4", "url": "https://www.anchorterminal.com/compare/granite-guardian-vs-llama-guard" }, { "json": "https://www.anchorterminal.com/compare/granite-guardian-vs-mistral-moderation.json", "title": "Granite Guardian vs Mistral Moderation API", "url": "https://www.anchorterminal.com/compare/granite-guardian-vs-mistral-moderation" }, { "json": "https://www.anchorterminal.com/compare/granite-guardian-vs-nemo-guardrails.json", "title": "Granite Guardian vs NVIDIA NeMo Guardrails", "url": "https://www.anchorterminal.com/compare/granite-guardian-vs-nemo-guardrails" }, { "json": "https://www.anchorterminal.com/compare/granite-guardian-vs-openai-guardrails.json", "title": "Granite Guardian vs OpenAI Guardrails", "url": "https://www.anchorterminal.com/compare/granite-guardian-vs-openai-guardrails" }, { "json": "https://www.anchorterminal.com/compare/granite-guardian-vs-openai-moderation.json", "title": "Granite Guardian vs OpenAI Moderation API", "url": "https://www.anchorterminal.com/compare/granite-guardian-vs-openai-moderation" }, { "json": "https://www.anchorterminal.com/compare/granite-guardian-vs-prisma-airs.json", "title": "Granite Guardian vs Prisma AIRS AI Runtime Security API", "url": "https://www.anchorterminal.com/compare/granite-guardian-vs-prisma-airs" }, { "json": "https://www.anchorterminal.com/compare/amazon-bedrock-guardrails-vs-microsoft-presidio.json", "title": "Amazon Bedrock Guardrails vs Presidio", "url": "https://www.anchorterminal.com/compare/amazon-bedrock-guardrails-vs-microsoft-presidio" }, { "json": "https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-microsoft-presidio.json", "title": "Cisco AI Defense Inspection API vs Presidio", "url": "https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-microsoft-presidio" }, { "json": "https://www.anchorterminal.com/compare/google-model-armor-vs-microsoft-presidio.json", "title": "Google Cloud Model Armor vs Presidio", "url": "https://www.anchorterminal.com/compare/google-model-armor-vs-microsoft-presidio" }, { "json": "https://www.anchorterminal.com/compare/guardrails-ai-vs-microsoft-presidio.json", "title": "Guardrails AI vs Presidio", "url": "https://www.anchorterminal.com/compare/guardrails-ai-vs-microsoft-presidio" }, { "json": "https://www.anchorterminal.com/compare/lakera-guard-vs-microsoft-presidio.json", "title": "Lakera Guard (Check Point AI Guardrails) vs Presidio", "url": "https://www.anchorterminal.com/compare/lakera-guard-vs-microsoft-presidio" }, { "json": "https://www.anchorterminal.com/compare/llamafirewall-vs-microsoft-presidio.json", "title": "LlamaFirewall vs Presidio", "url": "https://www.anchorterminal.com/compare/llamafirewall-vs-microsoft-presidio" }, { "json": "https://www.anchorterminal.com/compare/microsoft-presidio-vs-mistral-moderation.json", "title": "Presidio vs Mistral Moderation API", "url": "https://www.anchorterminal.com/compare/microsoft-presidio-vs-mistral-moderation" }, { "json": "https://www.anchorterminal.com/compare/microsoft-presidio-vs-nemo-guardrails.json", "title": "Presidio vs NVIDIA NeMo Guardrails", "url": "https://www.anchorterminal.com/compare/microsoft-presidio-vs-nemo-guardrails" }, { "json": "https://www.anchorterminal.com/compare/microsoft-presidio-vs-openai-guardrails.json", "title": "Presidio vs OpenAI Guardrails", "url": "https://www.anchorterminal.com/compare/microsoft-presidio-vs-openai-guardrails" }, { "json": "https://www.anchorterminal.com/compare/microsoft-presidio-vs-prisma-airs.json", "title": "Presidio vs Prisma AIRS AI Runtime Security API", "url": "https://www.anchorterminal.com/compare/microsoft-presidio-vs-prisma-airs" }, { "json": "https://www.anchorterminal.com/compare/llama-guard-vs-microsoft-presidio.json", "title": "Llama Guard 4 vs Presidio", "url": "https://www.anchorterminal.com/compare/llama-guard-vs-microsoft-presidio" } ], "scores": [ { "by": 22, "edge": "microsoft-presidio", "granite-guardian": 56, "key": "reliability", "microsoft-presidio": 78, "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 9, "edge": "microsoft-presidio", "granite-guardian": 60, "key": "schema", "microsoft-presidio": 69, "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 0, "edge": "", "granite-guardian": 69, "key": "ergonomics", "microsoft-presidio": 69, "name": "Agent ergonomics", "weight": 13 }, { "by": 5, "edge": "granite-guardian", "granite-guardian": 58, "key": "security", "microsoft-presidio": 53, "name": "Security \u0026 auth", "weight": 14 }, { "by": 0, "edge": "", "granite-guardian": 60, "key": "payments", "microsoft-presidio": 60, "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 16, "edge": "microsoft-presidio", "granite-guardian": 47, "key": "maintenance", "microsoft-presidio": 63, "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 5, "edge": "granite-guardian", "granite-guardian": 70, "key": "transparency", "microsoft-presidio": 65, "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Presidio scores 66 (B) on agent readiness against Granite Guardian's 60.1 (C), and leads in 3 of 7 scored categories. Granite Guardian leads on security \u0026 auth and transparency \u0026 trust. Both do guard self host.", "verdicts": { "granite-guardian": "One ungated Apache 2.0 model judges harm, jailbreaks, RAG groundedness, function-call errors and custom criteria, with signed weights and published evaluation code. It is trained and tested on English only, each call checks one criterion, the 4.1 prompt format differs from 3.x, and IBM's watsonx.ai lists only the deprecated 3.0 model.", "microsoft-presidio": "MIT-licensed personal data detector with a public OpenAPI document, tests on Python 3.10 to 3.14 and about 1.2 million weekly PyPI downloads. The REST containers have no authentication, the project states no SLA or support, and it covers personal data only, with no prompt injection or content moderation checks." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/granite-guardian-vs-microsoft-presidio", "json": "https://www.anchorterminal.com/compare/granite-guardian-vs-microsoft-presidio.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/granite-guardian-vs-microsoft-presidio.md", "slim": "https://www.anchorterminal.com/compare/granite-guardian-vs-microsoft-presidio.min.md" }, "markdown": "Presidio scores 66 (B) on agent readiness against Granite Guardian's 60.1 (C), and leads in 3 of 7 scored categories. Granite Guardian leads on security \u0026 auth and transparency \u0026 trust. Both do guard self host.\n\n- Granite Guardian: grade C, 60.1/100, rank #478 of 842. Markdown https://www.anchorterminal.com/tools/granite-guardian.md · JSON https://www.anchorterminal.com/api/v1/tools/granite-guardian.json\n- Presidio: grade B, 66/100, rank #281 of 842. Markdown https://www.anchorterminal.com/tools/microsoft-presidio.md · JSON https://www.anchorterminal.com/api/v1/tools/microsoft-presidio.json\n\n## Which one, for what\n\n### Granite Guardian (C)\n\nGood for: A team with a GPU that wants one English-language judge for harm, jailbreaks, RAG groundedness, function-call checks and house rules, under a permissive licence with no gate.\n\nAhead on:\n- Security \u0026 auth, 58 against 53\n- Transparency \u0026 trust, 70 against 65\n\nWatch for: Trained and tested on English only, per the model card\n\n### Presidio (B)\n\nGood for: Detecting and masking personal data in prompts, outputs, logs and images on the owner's own machines, with detection tuned by entity, threshold and custom recognisers.\n\nAhead on:\n- Reliability, 78 against 56\n- Schema \u0026 documentation, 69 against 60\n- Maintenance \u0026 community, 63 against 47\n\nAlso in its favour:\n- Open source\n\nWatch for: The REST containers have no authentication by design. The FAQ says to put a gateway or proxy in front\n\n\n## Score by category\n\n| Category | Weight | Granite Guardian | Presidio | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 56 | 78 | Presidio +22 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 60 | 69 | Presidio +9 |\n| Agent ergonomics | 13% (16.2 this run) | 69 | 69 | even |\n| Security \u0026 auth | 14% (17.5 this run) | 58 | 53 | Granite Guardian +5 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 60 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 47 | 63 | Presidio +16 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 70 | 65 | Granite Guardian +5 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **60.1 · C** | **66 · B** | |\n\n## Facts side by side\n\n| Fact | Granite Guardian | Presidio |\n| --- | --- | --- |\n| Kind | Model API | SDK + MCP |\n| Vendor | IBM | Data Privacy Stack |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | HTTP | HTTP |\n| Auth | None | None |\n| Pricing | Free | Free |\n| x402 | no | no |\n| Licence | Apache 2.0 for the weights and the repository | MIT |\n| Read-only variant documented | no | no |\n| llms.txt | no | no |\n| Last release | 2026-04-29 | 2026-07-22 |\n| Terms last updated | no document linked | no document linked |\n| Privacy policy last updated | no document linked | no document linked |\n| Customer content may train models | | |\n| Terms restrict automated access | | |\n| Terms restrict benchmarking | | |\n| Terms or service can change without notice | | |\n| Arbitration or class-action waiver | | |\n| Popularity | 182 stars | 11k stars, 1.2M PyPI/wk |\n\n## Verdicts\n\n**Granite Guardian.** One ungated Apache 2.0 model judges harm, jailbreaks, RAG groundedness, function-call errors and custom criteria, with signed weights and published evaluation code. It is trained and tested on English only, each call checks one criterion, the 4.1 prompt format differs from 3.x, and IBM's watsonx.ai lists only the deprecated 3.0 model.\n\n**Presidio.** MIT-licensed personal data detector with a public OpenAPI document, tests on Python 3.10 to 3.14 and about 1.2 million weekly PyPI downloads. The REST containers have no authentication, the project states no SLA or support, and it covers personal data only, with no prompt injection or content moderation checks.\n\n## Before you call either\n\n### Granite Guardian\n\n1. Append the `\u003cguardian\u003e` block as the final user message, with the mode line, `### Criteria:` and `### Scoring Schema:`. Copy the strings from the model card, because no package builds them\n2. Use the no-think instruction for gating and parse `\u003cscore\u003e`. Think mode writes a reasoning trace first, and the card's examples allow up to 2,048 output tokens\n3. Treat `yes` as the criterion being met, which for built-in criteria means the risk is present. Treat a missing `\u003cscore\u003e` tag as a failed check\n4. Pass retrieved text through `documents=` and tool schemas through `available_tools=` in `apply_chat_template`, not inside the message text\n5. Under Ollama, set `num_ctx` in the request options. IBM's docs say the default context is short and long requests are truncated\n\n### Presidio\n\n1. Install from PyPI or pull images from ghcr.io/data-privacy-stack. The mcr.microsoft.com/presidio-* images are no longer updated\n2. Download a spaCy model (python -m spacy download en_core_web_lg) before the first `AnalyzerEngine()` call, or use the Docker image\n3. Send both text and language to `/analyze`. A request missing either returns HTTP 500 with a JSON error field\n4. Pass entities and score_threshold to limit results. Many country-specific recognisers are disabled by default and need enabling in the registry YAML\n5. Keep the containers on a private network or behind your own authenticating proxy. They accept any caller\n\n## Questions\n\n### Which is better for AI agents, Granite Guardian or Presidio?\n\nPresidio scores 66 (B) on agent readiness against Granite Guardian's 60.1 (C), and leads in 3 of 7 scored categories. Granite Guardian leads on security \u0026 auth and transparency \u0026 trust.\n\n### Can an agent call Granite Guardian and Presidio without installing anything?\n\nNo hosted endpoint is listed for Granite Guardian. No hosted endpoint is listed for Presidio.\n\n### Are Granite Guardian and Presidio open source?\n\nNo open-source release is listed for Granite Guardian. Presidio is open source (MIT).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/granite-guardian-vs-microsoft-presidio.json, and with the fewest tokens: https://www.anchorterminal.com/compare/granite-guardian-vs-microsoft-presidio.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"granite-guardian\", \"b\": \"microsoft-presidio\"}`. From a terminal: `anchor compare granite-guardian microsoft-presidio`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/granite-guardian.json and https://www.anchorterminal.com/api/v1/tools/microsoft-presidio.json\n\n## Other comparisons with Granite Guardian or Presidio\n\n- [Amazon Bedrock Guardrails vs Granite Guardian](https://www.anchorterminal.com/compare/amazon-bedrock-guardrails-vs-granite-guardian.md)\n- [Azure AI Content Safety (Prompt Shields) vs Granite Guardian](https://www.anchorterminal.com/compare/azure-ai-content-safety-vs-granite-guardian.md)\n- [Cisco AI Defense Inspection API vs Granite Guardian](https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-granite-guardian.md)\n- [Google Cloud Model Armor vs Granite Guardian](https://www.anchorterminal.com/compare/google-model-armor-vs-granite-guardian.md)\n- [Granite Guardian vs LlamaFirewall](https://www.anchorterminal.com/compare/granite-guardian-vs-llamafirewall.md)\n- [Granite Guardian vs Guardrails AI](https://www.anchorterminal.com/compare/granite-guardian-vs-guardrails-ai.md)\n- [Granite Guardian vs Lakera Guard (Check Point AI Guardrails)](https://www.anchorterminal.com/compare/granite-guardian-vs-lakera-guard.md)\n- [Granite Guardian vs Llama Guard 4](https://www.anchorterminal.com/compare/granite-guardian-vs-llama-guard.md)\n- [Granite Guardian vs Mistral Moderation API](https://www.anchorterminal.com/compare/granite-guardian-vs-mistral-moderation.md)\n- [Granite Guardian vs NVIDIA NeMo Guardrails](https://www.anchorterminal.com/compare/granite-guardian-vs-nemo-guardrails.md)\n- [Granite Guardian vs OpenAI Guardrails](https://www.anchorterminal.com/compare/granite-guardian-vs-openai-guardrails.md)\n- [Granite Guardian vs OpenAI Moderation API](https://www.anchorterminal.com/compare/granite-guardian-vs-openai-moderation.md)\n- [Granite Guardian vs Prisma AIRS AI Runtime Security API](https://www.anchorterminal.com/compare/granite-guardian-vs-prisma-airs.md)\n- [Amazon Bedrock Guardrails vs Presidio](https://www.anchorterminal.com/compare/amazon-bedrock-guardrails-vs-microsoft-presidio.md)\n- [Cisco AI Defense Inspection API vs Presidio](https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-microsoft-presidio.md)\n- [Google Cloud Model Armor vs Presidio](https://www.anchorterminal.com/compare/google-model-armor-vs-microsoft-presidio.md)\n- [Guardrails AI vs Presidio](https://www.anchorterminal.com/compare/guardrails-ai-vs-microsoft-presidio.md)\n- [Lakera Guard (Check Point AI Guardrails) vs Presidio](https://www.anchorterminal.com/compare/lakera-guard-vs-microsoft-presidio.md)\n- [LlamaFirewall vs Presidio](https://www.anchorterminal.com/compare/llamafirewall-vs-microsoft-presidio.md)\n- [Presidio vs Mistral Moderation API](https://www.anchorterminal.com/compare/microsoft-presidio-vs-mistral-moderation.md)\n- [Presidio vs NVIDIA NeMo Guardrails](https://www.anchorterminal.com/compare/microsoft-presidio-vs-nemo-guardrails.md)\n- [Presidio vs OpenAI Guardrails](https://www.anchorterminal.com/compare/microsoft-presidio-vs-openai-guardrails.md)\n- [Presidio vs Prisma AIRS AI Runtime Security API](https://www.anchorterminal.com/compare/microsoft-presidio-vs-prisma-airs.md)\n- [Llama Guard 4 vs Presidio](https://www.anchorterminal.com/compare/llama-guard-vs-microsoft-presidio.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-09", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Granite Guardian vs Presidio", "url": "" } ], "description": "Presidio scores 66 (B) on agent readiness against Granite Guardian's 60.1 (C), and leads in 3 of 7 scored categories. Granite Guardian leads on security \u0026 auth and transparency \u0026 trust. Both do guard self host. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Granite Guardian C 60.1", "Presidio B 66", "scores" ], "h1": "Granite Guardian vs Presidio", "image": "https://www.anchorterminal.com/assets/og/compare-granite-guardian-vs-microsoft-presidio.png", "path": "/compare/granite-guardian-vs-microsoft-presidio", "published": "2026-10-01", "section": "tools", "title": "Granite Guardian vs Presidio for AI agents, C 60.1 vs B 66", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/granite-guardian-vs-microsoft-presidio" }, "tokens": { "markdown": 2600, "slim": 530 }, "version": 1 }