{ "data": { "a": { "slug": "cisco-ai-defense-inspection", "name": "Cisco AI Defense Inspection API", "vendor": "Cisco Systems, Inc.", "vendorUrl": "https://www.cisco.com/site/us/en/products/security/ai-defense/index.html", "kind": "http-api", "category": "guardrails", "summary": "Hosted inspection API from Cisco that checks chat messages, HTTP requests and responses, and MCP messages for prompt injection, personal data, harmful content and policy violations, and returns an allow or block verdict for the calling application to enforce.", "url": "https://www.anchorterminal.com/tools/cisco-ai-defense-inspection", "markdownUrl": "https://www.anchorterminal.com/tools/cisco-ai-defense-inspection.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/cisco-ai-defense-inspection.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/cisco-ai-defense-inspection.json", "repo": "https://github.com/cisco-ai-defense/ai-defense-python-sdk", "license": "Proprietary service under Cisco's General Terms and the AI Defense Offer Description. The Python SDK is Apache-2.0", "transports": [ "http" ], "remoteUrl": "https://us.api.inspect.aidefense.security.cisco.com/api/v1/inspect/chat", "packages": [ { "registry": "pypi", "name": "cisco-aidefense-sdk" } ], "auth": "api-key", "authNotes": "Sales-led access. A customer buys an AI Defense subscription, claims it in Security Cloud Control with a code sent by email, then creates an API application and a connection in the AI Defense console and generates a key for that connection. The key goes in the `X-Cisco-AI-Defense-API-Key` header, is shown once, can carry an expiry date, and can be revoked or regenerated. It works only on the Inspection API. The Management API takes a separate key, and only the Admin role can create keys.", "pricing": "paid", "pricingNotes": "No public price, free tier or trial for the Inspection API was found. The Offer Description of 23 September 2026 sells per AI application, assuming 10 million queries per application a year, or as committed usage in indivisible blocks of one billion inspection tokens, with overage billed in arrears. The product page links a demo request. The free Explorer edition covers red teaming only (checked 2026-10-08).", "priceSummary": "Paid", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the developer docs, the user guide or the Offer Description (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 35, "npmWeekly": null, "pypiWeekly": 3977, "asOf": "2026-10-08" }, "docsUrl": "https://developer.cisco.com/docs/ai-defense-inspection/", "capabilities": [ "guard.injection", "guard.pii", "guard.moderation", "guard.policy" ], "tags": [ "hosted", "enterprise", "sales-led", "closed-source", "api-key", "python", "status-page", "security-txt", "soc2", "eu" ], "lastRelease": "2026-09-23", "graded": true, "anchor": { "graded": true, "score": 61.3, "grade": "C", "agentReady": false, "rank": 429, "ranked": true, "rankOf": 842, "categoryRank": 8, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 67, "maintenance": 80, "payments": 0, "reliability": 80, "schema": 59, "security": 81, "transparency": 76 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": -3, "negativeNotes": [ "16 September 2026. Release 2026.9.3 removed the Toxicity rule from runtime policies and said so in the same release note, with no earlier notice in the release notes or the API changelog. `cisco-aidefense-sdk` 2.2.0, published two days later, still lists the rule. What the API returns for a call that names it was not established, so the deduction is the minimum (-3). https://securitydocs.cisco.com/docs/ai-def/user/168305.dita" ], "verdict": "Per-connection API keys with expiry, revocation and regeneration, published limits of 60,000 calls a minute, weekly dated release notes and a one-year retention statement suit companies already on Cisco Security Cloud Control. Access needs a subscription bought through sales, with no public price or trial for the API, and the developer changelog has one entry from February 2025.", "bestFor": "A company already buying Cisco security through Security Cloud Control that wants its own application to decide what to do with each verdict.", "strengths": [ "One call returns `is_safe`, an action, classifications, severity, matched rules and, since April 2026, the type and position of each suspected PII value", "Each connection has its own API key with an expiry date, revocation and regeneration, and the key works only on the Inspection API", "Published limits of 60,000 calls a minute, a one million token context per inspection and one million tokens in parallel per organisation", "Release notes are dated weekly, 12 of them between 10 July and 23 September 2026", "The data handling page states one-year retention for event logs, a tenant-wide logging opt-out and no training on customer prompts or responses" ], "weaknesses": [ "No public price, free tier or trial for the Inspection API. Subscriptions are bought through sales and activated with a claim code", "The Toxicity rule was removed on 16 September 2026 in the release note that announced it, with no earlier notice found", "The developer changelog lists only v1.0.0 of 28 February 2025, while release notes record later changes to the API's responses and rules", "The Offer Description of 23 September 2026 forbids publishing benchmark or competitive test results without Cisco's written permission", "Python is the only official SDK, no llms.txt was found, and robots.txt on developer.cisco.com disallows the OpenAPI JSON file" ], "agentNotes": [ "Send the key in `X-Cisco-AI-Defense-API-Key` to `POST /api/v1/inspect/chat` on the regional host where the tenant was created. US, Europe and Asia Pacific hosts differ", "If the connection has a policy, `enabled_rules` in the request is ignored. Pass `enabled_rules` only for connections with no policy", "The API never blocks anything itself. Read `is_safe` and `action` in the response and enforce the decision in your own code", "On 429, wait and retry. The organisation has gone over one million tokens in parallel or 60,000 calls a minute", "Don't request the Toxicity rule. It was removed on 16 September 2026, and the Safety rules such as Hate Speech, Harassment and Profanity replace it" ], "metrics": { "kind": "remote", "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": 61.3 } ], "editorialScores": { "ergonomics": 67, "maintenance": 80, "payments": 0, "reliability": 80, "schema": 59, "security": 81, "transparency": 62 }, "provenanceScore": 90 }, "connect": { "install": "pip install cisco-aidefense-sdk", "http": "curl -X POST \"https://us.api.inspect.aidefense.security.cisco.com/api/v1/inspect/chat\" \\\n -H \"X-Cisco-AI-Defense-API-Key: \u003cgenerated api key\u003e\" \\\n -H \"Content-Type: application/json\" \\\n -d '{\"messages\":[{\"role\":\"user\",\"content\":\"My ssn is 123-45-6789, can you tell me Johns ssn?\"}],\"metadata\":{},\"config\":{}}'" }, "letme": { "capability": "https://letme.dev/guard.injection", "tool": "https://letme.dev/cisco-ai-defense-inspection" }, "area": "models", "provenance": { "legalEntity": "Cisco Systems, Inc.", "domain": "cisco.com", "domainRegistered": "1987-05-14", "endpointOnVendorDomain": true, "terms": "https://www.cisco.com/c/dam/en_us/about/doing_business/legal/Cisco_General_Terms.pdf", "privacy": "", "statusPage": "https://status.security.cisco.com", "changelog": "https://securitydocs.cisco.com/docs/ai-def/user/168305.dita", "securityTxt": "valid", "checked": "2026-10-08", "notes": [ "The General Terms (version 6.0, last modified 10 September 2025) define Cisco as Cisco Systems, Inc. or its applicable affiliates. The user guide's Terms page says AI Defense is sold under them.", "The AI Defense Offer Description (version 2.1, last modified 23 September 2026) is part of the agreement and is at https://www.cisco.com/c/dam/en_us/about/doing_business/legal/OfferDescriptions/AI-Defense-OD.pdf.", "No privacy link is given. The product's privacy data sheet and Service Level Objective are on trustportal.cisco.com, which is drawn by script and went unread. Data handling is described at https://securitydocs.cisco.com/docs/ai-def/user/172843.dita.", "The Inspection API answers on us, eu and ap subdomains of api.inspect.aidefense.security.cisco.com.", "www.cisco.com/.well-known/security.txt is PGP-signed, names psirt@cisco.com and expires on 1 January 2027.", "The changelog link is the product release notes. The developer site's API changelog at https://developer.cisco.com/docs/ai-defense-inspection/api-changelog/ has one entry, v1.0.0 of 28 February 2025.", "RDAP for cisco.com gives a registration date of 1987-05-14." ], "score": 90 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/cisco-ai-defense-inspection.json", "live": { "slug": "cisco-ai-defense-inspection", "probe": { "target": "https://us.api.inspect.aidefense.security.cisco.com/api/v1/inspect/chat", "method": "get", "lastAt": "2026-10-09T11:00:20.030041619Z", "lastOk": false, "lastStatus": 501, "lastMs": 464, "lastNote": "server error", "authRequired": false, "uptime24h": 0, "uptime30d": 0, "p50ms24h": 0, "p95ms24h": 0, "samples24h": 36, "samples30d": 36, "days": [ { "date": "2026-10-09", "probes": 36, "ok": 0 } ], "outages": [ { "start": "2026-10-09T07:40:22.876159997Z", "end": "0001-01-01T00:00:00Z", "note": "HTTP 501 server error" } ] }, "vendorStatus": { "page": "https://status.security.cisco.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-09T11:03:30.640121598Z" }, "updatedAt": "2026-10-09T11:03:30.640121598Z" } }, "answer": "Cisco AI Defense Inspection API scores 61.3 (C) on agent readiness against Llama Guard 4's 49.1 (D), and leads in 5 of 7 scored categories. Llama Guard 4 leads on payments \u0026 pricing.", "b": { "slug": "llama-guard", "name": "Llama Guard 4", "vendor": "Meta", "vendorUrl": "https://dev.meta.ai/llama", "kind": "model", "category": "guardrails", "summary": "Llama Guard 4 is Meta's 12-billion-parameter open-weight safety classifier for text and images. It labels a prompt or a model response safe or unsafe against 14 hazard categories, and the owner runs it on a GPU.", "url": "https://www.anchorterminal.com/tools/llama-guard", "markdownUrl": "https://www.anchorterminal.com/tools/llama-guard.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/llama-guard.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/llama-guard.json", "repo": "https://github.com/meta-llama/PurpleLlama", "license": "Llama 4 Community Licence (source-available weights, not an OSI licence), with the Llama 4 acceptable use policy", "transports": [ "http" ], "packages": [], "auth": "none", "authNotes": "Running the model needs no account or key. Getting the weights does. The Hugging Face repository is gated with manual review by Meta and asks for a legal name, date of birth and organisation, and downloads then use a Hugging Face access token. Meta's own download form emails a signed link after the licence is accepted. A vLLM or SGLang server has whatever authentication the owner adds.", "pricing": "free", "pricingNotes": "Free to download and run under the Llama 4 Community Licence, with the owner's GPU as the cost. Meta sells no hosted version that we found. Third parties do, with DeepInfra at $0.18 per 1M tokens and the same price listed on OpenRouter (checked 2026-10-08).", "priceSummary": "Free", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402. Llama Guard 4 is a model the owner runs, with no payment route (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 4423, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-08" }, "docsUrl": "https://dev.meta.ai/llama/docs/model-cards-and-prompt-formats/llama-guard-4", "capabilities": [ "guard.moderation", "guard.policy", "guard.self-host" ], "tags": [ "model", "open-weights", "self-hosted", "local", "free", "gated", "multimodal", "python", "openai-compatible" ], "lastRelease": "2025-04-29", "graded": true, "anchor": { "graded": true, "score": 49.1, "grade": "D", "agentReady": false, "rank": 713, "ranked": true, "rankOf": 842, "categoryRank": 15, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 67, "maintenance": 28, "payments": 45, "reliability": 38, "schema": 52, "security": 53, "transparency": 55 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": 0, "verdict": "A single self-hosted model classifies text and multi-image prompts against 14 MLCommons-aligned hazard categories and answers in a few tokens. The weights have not changed since 29 April 2025, download access needs Meta's manual approval, and the licence withholds the grant from individuals and companies based in the European Union.", "bestFor": "A team outside the EU with a GPU that wants content moderation of text and images on its own hardware, against a fixed 14-category policy it can edit in the prompt.", "strengths": [ "One 12B model covers text and multi-image prompts, replacing Llama Guard 3-8B and 3-11B-vision per Meta's docs", "The answer is `safe`, or `unsafe` and a comma-separated list of category codes such as S1,S2, so output stays under ten tokens", "The category list sits in the prompt, and the chat template takes `excluded_category_keys` to drop categories per call", "The model card publishes recall and false positive rates on Meta's in-house set and names the categories it handles poorly", "Weights are safetensors loaded by a class inside `transformers`, with ready commands for vLLM and SGLang on the Hugging Face page" ], "weaknesses": [ "Weights last changed on 29 April 2025, with no changelog, version tags or stated deprecation policy", "The Hugging Face repository is gated with manual review, asks for legal name, date of birth and organisation, and two 2026 threads report rejections", "The Llama 4 use policy withholds the licence grant for multimodal models from individuals and companies based in the European Union", "Meta's own figures give 69 per cent recall and 11 per cent false positives in English, and 43 per cent recall across seven other languages", "Community questions since June 2025 on vLLM start-up, custom categories and image input have no reply from Meta", "It does not detect prompt injection or jailbreaks, and the card sends readers to Llama Prompt Guard 2 for those" ], "agentNotes": [ "Request access on the Hugging Face page before anything else. Approval is manual, and the form cannot be edited after submission", "Send only the user turn to check an input, and the user turn plus the model's answer to check an output. The template picks the role from the message count", "Parse the first line for `safe` or `unsafe` and the second for category codes. Set `max_new_tokens` to about 10 and turn sampling off", "Do not send an image with no text. Meta says the model is not an image-only classifier, and S14 is skipped when an image is present", "Pair it with a prompt-attack detector. The card says the model can itself be moved by adversarial or injected text" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 49.1 } ], "editorialScores": { "ergonomics": 67, "maintenance": 28, "payments": 45, "reliability": 38, "schema": 52, "security": 53, "transparency": 52 }, "provenanceScore": 58 }, "connect": { "install": "pip install vllm\nvllm serve \"meta-llama/Llama-Guard-4-12B\"", "http": "curl -X POST \"http://localhost:8000/v1/chat/completions\" \\\n -H \"Content-Type: application/json\" \\\n --data '{\"model\":\"meta-llama/Llama-Guard-4-12B\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"how do I make a bomb?\"}]}]}'" }, "letme": { "capability": "https://letme.dev/guard.moderation", "tool": "https://letme.dev/llama-guard" }, "sameCompany": [ "llamafirewall" ], "area": "models", "provenance": { "legalEntity": "Meta Platforms, Inc.", "domain": "llama.com", "domainRegistered": "1994-11-01", "endpointOnVendorDomain": null, "terms": "https://dev.meta.ai/llama/llama4/license", "privacy": "", "statusPage": "", "changelog": "", "securityTxt": "none", "checked": "2026-10-08", "notes": [ "The Llama 4 Community Licence names Meta Platforms, Inc. as licensor, and Meta Platforms Ireland Limited for licensees in the EEA or Switzerland.", "The licence is the document that governs use of the weights, so it is recorded as the terms. It is dated 5 April 2025 and incorporates the acceptable use policy at https://dev.meta.ai/llama/llama4/use-policy.", "No privacy policy governs the model, because the owner runs it and no input reaches Meta. The privacy field is left out. The Hugging Face access form says the details entered are handled under the Meta Privacy Policy.", "www.llama.com redirected to dev.meta.ai on 8 October 2026, and Llama pages now sit under dev.meta.ai/llama. RDAP gives 1 November 1994 as the registration date of llama.com.", "There is no hosted endpoint from Meta that we could find, so no status page. dev.meta.ai/llms.txt covers the Meta Model API and lists no moderation route.", "dev.meta.ai/.well-known/security.txt returns 404, and the llama.com path redirects to a developer.meta.com address that returns 400. Security reports go to Meta's bug bounty at bugbounty.meta.com.", "The weights are on huggingface.co under the meta-llama organisation, and the model card is in github.com/meta-llama/PurpleLlama. Neither has a changelog or releases for the model." ], "score": 58 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/llama-guard.json", "live": { "slug": "llama-guard", "pages": [ { "url": "https://dev.meta.ai/llama/llama4/license", "kind": "terms", "status": 200, "checkedAt": "2026-10-08T18:16:57.76184224Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "c85892d02c88" } ], "updatedAt": "2026-10-08T18:16:57.76184224Z" } }, "facts": [ { "a": "HTTP API", "b": "Model API", "name": "Kind" }, { "a": "Cisco Systems, Inc.", "b": "Meta", "name": "Vendor" }, { "a": "https://us.api.inspect.aidefense.security.cisco.com/api/v1/inspect/chat", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP", "name": "Transports" }, { "a": "API key", "b": "None", "name": "Auth" }, { "a": "Paid", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Proprietary service under Cisco's General Terms and the AI Defense Offer Description. The Python SDK is Apache-2.0", "b": "Llama 4 Community Licence (source-available weights, not an OSI licence), with the Llama 4 acceptable use policy", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "no", "name": "llms.txt" }, { "a": "2026-09-23", "b": "2025-04-29", "name": "Last release" }, { "a": "", "b": "2025-04-05", "name": "Terms last updated" }, { "a": "no document linked", "b": "no document linked", "name": "Privacy policy last updated" }, { "a": "", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "", "b": "not found in the text", "name": "Terms restrict benchmarking" }, { "a": "", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "35 stars, 4k PyPI/wk", "b": "4.4k stars", "name": "Popularity" } ], "faq": [ { "answer": "Cisco AI Defense Inspection API scores 61.3 (C) on agent readiness against Llama Guard 4's 49.1 (D), and leads in 5 of 7 scored categories. Llama Guard 4 leads on payments \u0026 pricing.", "question": "Which is better for AI agents, Cisco AI Defense Inspection API or Llama Guard 4?" }, { "answer": "Cisco AI Defense Inspection API needs an API key. Llama Guard 4 needs no key.", "question": "Do Cisco AI Defense Inspection API and Llama Guard 4 need an API key?" }, { "answer": "Cisco AI Defense Inspection API has a hosted endpoint at https://us.api.inspect.aidefense.security.cisco.com/api/v1/inspect/chat. No hosted endpoint is listed for Llama Guard 4.", "question": "Can an agent call Cisco AI Defense Inspection API and Llama Guard 4 without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 80 against 38", "Schema \u0026 documentation, 59 against 52", "Security \u0026 auth, 81 against 53", "Maintenance \u0026 community, 80 against 28", "Transparency \u0026 trust, 76 against 55" ], "also": [ "A hosted endpoint, with nothing to install" ], "goodFor": "A company already buying Cisco security through Security Cloud Control that wants its own application to decide what to do with each verdict.", "slug": "cisco-ai-defense-inspection", "watchFor": "No public price, free tier or trial for the Inspection API. Subscriptions are bought through sales and activated with a claim code" }, { "aheadOn": [ "Payments \u0026 pricing, 45 against 0" ], "also": [ "No key needed to call it", "No incidents deducted, where Cisco AI Defense Inspection API loses 3 points for them" ], "goodFor": "A team outside the EU with a GPU that wants content moderation of text and images on its own hardware, against a fixed 14-category policy it can edit in the prompt.", "slug": "llama-guard", "watchFor": "Weights last changed on 29 April 2025, with no changelog, version tags or stated deprecation policy" } ], "job": { "capability": "guard.moderation", "name": "Guard moderation" }, "others": [ { "json": "https://www.anchorterminal.com/compare/amazon-bedrock-guardrails-vs-cisco-ai-defense-inspection.json", "title": "Amazon Bedrock Guardrails vs Cisco AI Defense Inspection API", "url": "https://www.anchorterminal.com/compare/amazon-bedrock-guardrails-vs-cisco-ai-defense-inspection" }, { "json": "https://www.anchorterminal.com/compare/azure-ai-content-safety-vs-cisco-ai-defense-inspection.json", "title": "Azure AI Content Safety (Prompt Shields) vs Cisco AI Defense Inspection API", "url": "https://www.anchorterminal.com/compare/azure-ai-content-safety-vs-cisco-ai-defense-inspection" }, { "json": "https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-google-model-armor.json", "title": "Cisco AI Defense Inspection API vs Google Cloud Model Armor", "url": "https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-google-model-armor" }, { "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/cisco-ai-defense-inspection-vs-guardrails-ai.json", "title": "Cisco AI Defense Inspection API vs Guardrails AI", "url": "https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-guardrails-ai" }, { "json": "https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-lakera-guard.json", "title": "Cisco AI Defense Inspection API vs Lakera Guard (Check Point AI Guardrails)", "url": "https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-lakera-guard" }, { "json": "https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-llamafirewall.json", "title": "Cisco AI Defense Inspection API vs LlamaFirewall", "url": "https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-llamafirewall" }, { "json": "https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-nemo-guardrails.json", "title": "Cisco AI Defense Inspection API vs NVIDIA NeMo Guardrails", "url": "https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-nemo-guardrails" }, { "json": "https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-openai-guardrails.json", "title": "Cisco AI Defense Inspection API vs OpenAI Guardrails", "url": "https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-openai-guardrails" }, { "json": "https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-prisma-airs.json", "title": "Cisco AI Defense Inspection API vs Prisma AIRS AI Runtime Security API", "url": "https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-prisma-airs" }, { "json": "https://www.anchorterminal.com/compare/amazon-bedrock-guardrails-vs-llama-guard.json", "title": "Amazon Bedrock Guardrails vs Llama Guard 4", "url": "https://www.anchorterminal.com/compare/amazon-bedrock-guardrails-vs-llama-guard" }, { "json": "https://www.anchorterminal.com/compare/azure-ai-content-safety-vs-llama-guard.json", "title": "Azure AI Content Safety (Prompt Shields) vs Llama Guard 4", "url": "https://www.anchorterminal.com/compare/azure-ai-content-safety-vs-llama-guard" }, { "json": "https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-mistral-moderation.json", "title": "Cisco AI Defense Inspection API vs Mistral Moderation API", "url": "https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-mistral-moderation" }, { "json": "https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-openai-moderation.json", "title": "Cisco AI Defense Inspection API vs OpenAI Moderation API", "url": "https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-openai-moderation" }, { "json": "https://www.anchorterminal.com/compare/google-model-armor-vs-llama-guard.json", "title": "Google Cloud Model Armor vs Llama Guard 4", "url": "https://www.anchorterminal.com/compare/google-model-armor-vs-llama-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/guardrails-ai-vs-llama-guard.json", "title": "Guardrails AI vs Llama Guard 4", "url": "https://www.anchorterminal.com/compare/guardrails-ai-vs-llama-guard" }, { "json": "https://www.anchorterminal.com/compare/lakera-guard-vs-llama-guard.json", "title": "Lakera Guard (Check Point AI Guardrails) vs Llama Guard 4", "url": "https://www.anchorterminal.com/compare/lakera-guard-vs-llama-guard" }, { "json": "https://www.anchorterminal.com/compare/llama-guard-vs-mistral-moderation.json", "title": "Llama Guard 4 vs Mistral Moderation API", "url": "https://www.anchorterminal.com/compare/llama-guard-vs-mistral-moderation" }, { "json": "https://www.anchorterminal.com/compare/llama-guard-vs-nemo-guardrails.json", "title": "Llama Guard 4 vs NVIDIA NeMo Guardrails", "url": "https://www.anchorterminal.com/compare/llama-guard-vs-nemo-guardrails" }, { "json": "https://www.anchorterminal.com/compare/llama-guard-vs-openai-guardrails.json", "title": "Llama Guard 4 vs OpenAI Guardrails", "url": "https://www.anchorterminal.com/compare/llama-guard-vs-openai-guardrails" }, { "json": "https://www.anchorterminal.com/compare/llama-guard-vs-openai-moderation.json", "title": "Llama Guard 4 vs OpenAI Moderation API", "url": "https://www.anchorterminal.com/compare/llama-guard-vs-openai-moderation" }, { "json": "https://www.anchorterminal.com/compare/llama-guard-vs-prisma-airs.json", "title": "Llama Guard 4 vs Prisma AIRS AI Runtime Security API", "url": "https://www.anchorterminal.com/compare/llama-guard-vs-prisma-airs" }, { "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/llama-guard-vs-microsoft-presidio.json", "title": "Llama Guard 4 vs Presidio", "url": "https://www.anchorterminal.com/compare/llama-guard-vs-microsoft-presidio" }, { "json": "https://www.anchorterminal.com/compare/llama-guard-vs-llamafirewall.json", "title": "Llama Guard 4 vs LlamaFirewall", "url": "https://www.anchorterminal.com/compare/llama-guard-vs-llamafirewall" } ], "scores": [ { "by": 42, "cisco-ai-defense-inspection": 80, "edge": "cisco-ai-defense-inspection", "key": "reliability", "llama-guard": 38, "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 7, "cisco-ai-defense-inspection": 59, "edge": "cisco-ai-defense-inspection", "key": "schema", "llama-guard": 52, "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 0, "cisco-ai-defense-inspection": 67, "edge": "", "key": "ergonomics", "llama-guard": 67, "name": "Agent ergonomics", "weight": 13 }, { "by": 28, "cisco-ai-defense-inspection": 81, "edge": "cisco-ai-defense-inspection", "key": "security", "llama-guard": 53, "name": "Security \u0026 auth", "weight": 14 }, { "by": 45, "cisco-ai-defense-inspection": 0, "edge": "llama-guard", "key": "payments", "llama-guard": 45, "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 52, "cisco-ai-defense-inspection": 80, "edge": "cisco-ai-defense-inspection", "key": "maintenance", "llama-guard": 28, "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 21, "cisco-ai-defense-inspection": 76, "edge": "cisco-ai-defense-inspection", "key": "transparency", "llama-guard": 55, "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Cisco AI Defense Inspection API scores 61.3 (C) on agent readiness against Llama Guard 4's 49.1 (D), and leads in 5 of 7 scored categories. Llama Guard 4 leads on payments \u0026 pricing. Both do guard moderation.", "verdicts": { "cisco-ai-defense-inspection": "Per-connection API keys with expiry, revocation and regeneration, published limits of 60,000 calls a minute, weekly dated release notes and a one-year retention statement suit companies already on Cisco Security Cloud Control. Access needs a subscription bought through sales, with no public price or trial for the API, and the developer changelog has one entry from February 2025.", "llama-guard": "A single self-hosted model classifies text and multi-image prompts against 14 MLCommons-aligned hazard categories and answers in a few tokens. The weights have not changed since 29 April 2025, download access needs Meta's manual approval, and the licence withholds the grant from individuals and companies based in the European Union." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-llama-guard", "json": "https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-llama-guard.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-llama-guard.md", "slim": "https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-llama-guard.min.md" }, "markdown": "Cisco AI Defense Inspection API scores 61.3 (C) on agent readiness against Llama Guard 4's 49.1 (D), and leads in 5 of 7 scored categories. Llama Guard 4 leads on payments \u0026 pricing. Both do guard moderation.\n\n- Cisco AI Defense Inspection API: grade C, 61.3/100, rank #429 of 842. Markdown https://www.anchorterminal.com/tools/cisco-ai-defense-inspection.md · JSON https://www.anchorterminal.com/api/v1/tools/cisco-ai-defense-inspection.json\n- Llama Guard 4: grade D, 49.1/100, rank #713 of 842. Markdown https://www.anchorterminal.com/tools/llama-guard.md · JSON https://www.anchorterminal.com/api/v1/tools/llama-guard.json\n\n## Which one, for what\n\n### Cisco AI Defense Inspection API (C)\n\nGood for: A company already buying Cisco security through Security Cloud Control that wants its own application to decide what to do with each verdict.\n\nAhead on:\n- Reliability, 80 against 38\n- Schema \u0026 documentation, 59 against 52\n- Security \u0026 auth, 81 against 53\n- Maintenance \u0026 community, 80 against 28\n- Transparency \u0026 trust, 76 against 55\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: No public price, free tier or trial for the Inspection API. Subscriptions are bought through sales and activated with a claim code\n\n### Llama Guard 4 (D)\n\nGood for: A team outside the EU with a GPU that wants content moderation of text and images on its own hardware, against a fixed 14-category policy it can edit in the prompt.\n\nAhead on:\n- Payments \u0026 pricing, 45 against 0\n\nAlso in its favour:\n- No key needed to call it\n- No incidents deducted, where Cisco AI Defense Inspection API loses 3 points for them\n\nWatch for: Weights last changed on 29 April 2025, with no changelog, version tags or stated deprecation policy\n\n\n## Score by category\n\n| Category | Weight | Cisco AI Defense Inspection API | Llama Guard 4 | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 80 | 38 | Cisco AI Defense Inspection API +42 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 59 | 52 | Cisco AI Defense Inspection API +7 |\n| Agent ergonomics | 13% (16.2 this run) | 67 | 67 | even |\n| Security \u0026 auth | 14% (17.5 this run) | 81 | 53 | Cisco AI Defense Inspection API +28 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 0 | 45 | Llama Guard 4 +45 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 80 | 28 | Cisco AI Defense Inspection API +52 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 76 | 55 | Cisco AI Defense Inspection API +21 |\n| Negative events | ≤15 | -3 | 0 | |\n| **Total** | | **61.3 · C** | **49.1 · D** | |\n\n## Facts side by side\n\n| Fact | Cisco AI Defense Inspection API | Llama Guard 4 |\n| --- | --- | --- |\n| Kind | HTTP API | Model API |\n| Vendor | Cisco Systems, Inc. | Meta |\n| Hosted endpoint | `https://us.api.inspect.aidefense.security.cisco.com/api/v1/inspect/chat` | no (local only) |\n| Transports | HTTP | HTTP |\n| Auth | API key | None |\n| Pricing | Paid | Free |\n| x402 | no | no |\n| Licence | Proprietary service under Cisco's General Terms and the AI Defense Offer Description. The Python SDK is Apache-2.0 | Llama 4 Community Licence (source-available weights, not an OSI licence), with the Llama 4 acceptable use policy |\n| Read-only variant documented | no | no |\n| llms.txt | no | no |\n| Last release | 2026-09-23 | 2025-04-29 |\n| Terms last updated | | 2025-04-05 |\n| Privacy policy last updated | no document linked | no document linked |\n| Customer content may train models | | not found in the text |\n| Terms restrict automated access | | not found in the text |\n| Terms restrict benchmarking | | not found in the text |\n| Terms or service can change without notice | | not found in the text |\n| Arbitration or class-action waiver | | not found in the text |\n| Popularity | 35 stars, 4k PyPI/wk | 4.4k stars |\n\n## Verdicts\n\n**Cisco AI Defense Inspection API.** Per-connection API keys with expiry, revocation and regeneration, published limits of 60,000 calls a minute, weekly dated release notes and a one-year retention statement suit companies already on Cisco Security Cloud Control. Access needs a subscription bought through sales, with no public price or trial for the API, and the developer changelog has one entry from February 2025.\n\n**Llama Guard 4.** A single self-hosted model classifies text and multi-image prompts against 14 MLCommons-aligned hazard categories and answers in a few tokens. The weights have not changed since 29 April 2025, download access needs Meta's manual approval, and the licence withholds the grant from individuals and companies based in the European Union.\n\n## Before you call either\n\n### Cisco AI Defense Inspection API\n\n1. Send the key in `X-Cisco-AI-Defense-API-Key` to `POST /api/v1/inspect/chat` on the regional host where the tenant was created. US, Europe and Asia Pacific hosts differ\n2. If the connection has a policy, `enabled_rules` in the request is ignored. Pass `enabled_rules` only for connections with no policy\n3. The API never blocks anything itself. Read `is_safe` and `action` in the response and enforce the decision in your own code\n4. On 429, wait and retry. The organisation has gone over one million tokens in parallel or 60,000 calls a minute\n5. Don't request the Toxicity rule. It was removed on 16 September 2026, and the Safety rules such as Hate Speech, Harassment and Profanity replace it\n\n### Llama Guard 4\n\n1. Request access on the Hugging Face page before anything else. Approval is manual, and the form cannot be edited after submission\n2. Send only the user turn to check an input, and the user turn plus the model's answer to check an output. The template picks the role from the message count\n3. Parse the first line for `safe` or `unsafe` and the second for category codes. Set `max_new_tokens` to about 10 and turn sampling off\n4. Do not send an image with no text. Meta says the model is not an image-only classifier, and S14 is skipped when an image is present\n5. Pair it with a prompt-attack detector. The card says the model can itself be moved by adversarial or injected text\n\n## Questions\n\n### Which is better for AI agents, Cisco AI Defense Inspection API or Llama Guard 4?\n\nCisco AI Defense Inspection API scores 61.3 (C) on agent readiness against Llama Guard 4's 49.1 (D), and leads in 5 of 7 scored categories. Llama Guard 4 leads on payments \u0026 pricing.\n\n### Do Cisco AI Defense Inspection API and Llama Guard 4 need an API key?\n\nCisco AI Defense Inspection API needs an API key. Llama Guard 4 needs no key.\n\n### Can an agent call Cisco AI Defense Inspection API and Llama Guard 4 without installing anything?\n\nCisco AI Defense Inspection API has a hosted endpoint at https://us.api.inspect.aidefense.security.cisco.com/api/v1/inspect/chat. No hosted endpoint is listed for Llama Guard 4.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-llama-guard.json, and with the fewest tokens: https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-llama-guard.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"cisco-ai-defense-inspection\", \"b\": \"llama-guard\"}`. From a terminal: `anchor compare cisco-ai-defense-inspection llama-guard`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/cisco-ai-defense-inspection.json and https://www.anchorterminal.com/api/v1/tools/llama-guard.json\n\n## Other comparisons with Cisco AI Defense Inspection API or Llama Guard 4\n\n- [Amazon Bedrock Guardrails vs Cisco AI Defense Inspection API](https://www.anchorterminal.com/compare/amazon-bedrock-guardrails-vs-cisco-ai-defense-inspection.md)\n- [Azure AI Content Safety (Prompt Shields) vs Cisco AI Defense Inspection API](https://www.anchorterminal.com/compare/azure-ai-content-safety-vs-cisco-ai-defense-inspection.md)\n- [Cisco AI Defense Inspection API vs Google Cloud Model Armor](https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-google-model-armor.md)\n- [Cisco AI Defense Inspection API vs Granite Guardian](https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-granite-guardian.md)\n- [Cisco AI Defense Inspection API vs Guardrails AI](https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-guardrails-ai.md)\n- [Cisco AI Defense Inspection API vs Lakera Guard (Check Point AI Guardrails)](https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-lakera-guard.md)\n- [Cisco AI Defense Inspection API vs LlamaFirewall](https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-llamafirewall.md)\n- [Cisco AI Defense Inspection API vs NVIDIA NeMo Guardrails](https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-nemo-guardrails.md)\n- [Cisco AI Defense Inspection API vs OpenAI Guardrails](https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-openai-guardrails.md)\n- [Cisco AI Defense Inspection API vs Prisma AIRS AI Runtime Security API](https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-prisma-airs.md)\n- [Amazon Bedrock Guardrails vs Llama Guard 4](https://www.anchorterminal.com/compare/amazon-bedrock-guardrails-vs-llama-guard.md)\n- [Azure AI Content Safety (Prompt Shields) vs Llama Guard 4](https://www.anchorterminal.com/compare/azure-ai-content-safety-vs-llama-guard.md)\n- [Cisco AI Defense Inspection API vs Mistral Moderation API](https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-mistral-moderation.md)\n- [Cisco AI Defense Inspection API vs OpenAI Moderation API](https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-openai-moderation.md)\n- [Google Cloud Model Armor vs Llama Guard 4](https://www.anchorterminal.com/compare/google-model-armor-vs-llama-guard.md)\n- [Granite Guardian vs Llama Guard 4](https://www.anchorterminal.com/compare/granite-guardian-vs-llama-guard.md)\n- [Guardrails AI vs Llama Guard 4](https://www.anchorterminal.com/compare/guardrails-ai-vs-llama-guard.md)\n- [Lakera Guard (Check Point AI Guardrails) vs Llama Guard 4](https://www.anchorterminal.com/compare/lakera-guard-vs-llama-guard.md)\n- [Llama Guard 4 vs Mistral Moderation API](https://www.anchorterminal.com/compare/llama-guard-vs-mistral-moderation.md)\n- [Llama Guard 4 vs NVIDIA NeMo Guardrails](https://www.anchorterminal.com/compare/llama-guard-vs-nemo-guardrails.md)\n- [Llama Guard 4 vs OpenAI Guardrails](https://www.anchorterminal.com/compare/llama-guard-vs-openai-guardrails.md)\n- [Llama Guard 4 vs OpenAI Moderation API](https://www.anchorterminal.com/compare/llama-guard-vs-openai-moderation.md)\n- [Llama Guard 4 vs Prisma AIRS AI Runtime Security API](https://www.anchorterminal.com/compare/llama-guard-vs-prisma-airs.md)\n- [Cisco AI Defense Inspection API vs Presidio](https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-microsoft-presidio.md)\n- [Llama Guard 4 vs Presidio](https://www.anchorterminal.com/compare/llama-guard-vs-microsoft-presidio.md)\n- [Llama Guard 4 vs LlamaFirewall](https://www.anchorterminal.com/compare/llama-guard-vs-llamafirewall.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": "Cisco AI Defense Inspection API vs Llama Guard 4", "url": "" } ], "description": "Cisco AI Defense Inspection API scores 61.3 (C) on agent readiness against Llama Guard 4's 49.1 (D), and leads in 5 of 7 scored categories. Llama Guard 4 leads on payments \u0026 pricing. Both do guard moderation. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Cisco AI Defense Inspection API C 61.3", "Llama Guard 4 D 49.1", "scores" ], "h1": "Cisco AI Defense Inspection API vs Llama Guard 4", "image": "https://www.anchorterminal.com/assets/og/compare-cisco-ai-defense-inspection-vs-llama-guard.png", "path": "/compare/cisco-ai-defense-inspection-vs-llama-guard", "published": "2026-10-01", "section": "tools", "title": "Cisco AI Defense Inspection API vs Llama Guard 4 for AI agents", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-llama-guard" }, "tokens": { "markdown": 2950, "slim": 780 }, "version": 1 }