{"slug":"llm-guard","name":"LLM Guard","domain":"protectai.com","verdict":"As of 2026-07-14, ChatGPT, Claude, Gemini, Grok collectively rank LLM Guard #3 of 10 for llm security tool (one of 3 leaderboards it appears on). Source: https://modelsagree.com/product/llm-guard (modelsagree.com, CC BY 4.0).","best_rank":3,"categories":3,"brief":{"category":"best-llm-security-tool","title":"Best LLM security tool","rank":3,"of":10,"top":"Lakera Guard","day":"2026-07-17","why":[{"t":"Open-source self-hosted runtime security","m":["Gemini","ChatGPT"],"q":"open-source toolkit for self-hosted LLM runtime security"},{"t":"Granular, modular scanner architecture","m":["Gemini","ChatGPT"],"q":"highly granular, modular architecture with over 30 separate scanners"},{"t":"Input and output threat scanning","m":["Gemini","ChatGPT"],"q":"input/output scanners for prompt injection, secrets, PII, malicious URLs, and other unsafe content"},{"t":"Without third-party API exposure","m":["Gemini","ChatGPT"],"q":"in-process without third-party API exposure"}],"gap":[{"t":"Production-ready low latency","m":["ChatGPT","Claude","Gemini","Grok"],"q":"production-ready latency"},{"t":"Real-time threat intelligence","m":["Claude","Gemini","Grok"],"q":"massive, real-time threat intelligence from their Gandalf application community"},{"t":"Vendor-maintained detection","m":["Claude","Gemini","Grok"],"q":"vendor-maintained detection, not a DIY classifier"}],"fix":[{"t":"Substantial developer and ops overhead","m":["ChatGPT","Gemini"],"q":"substantial developer and ops overhead to configure, run, and scale"},{"t":"Meaningful latency","m":["ChatGPT","Gemini"],"q":"scanners can add meaningful latency"},{"t":"False positives","m":["ChatGPT"],"q":"false positives"}]},"entries":[{"slug":"best-llm-security-tool","title":"Best LLM security tool","rank":3,"of":10,"score":6,"appearances":2,"modelRanks":{"ChatGPT":4,"Gemini":2},"reason":"The premier open-source toolkit for self-hosted LLM runtime security. Provides a highly granular, modular architecture with over 30 separate scanners to detect prompt injections, anonymize PII, and detect output exfiltration vectors in-process without third-party API exposure.","reasons":[{"model":"Gemini","reason":"The premier open-source toolkit for self-hosted LLM runtime security. Provides a highly granular, modular architecture with over 30 separate scanners to detect prompt injections, anonymize PII, and detect output exfiltration vectors in-process without third-party API exposure."},{"model":"ChatGPT","reason":"Best open-source value for practitioners needing self-hosted input/output scanners for prompt injection, secrets, PII, malicious URLs, and other unsafe content, with straightforward Python integration and replaceable models."}],"fixes":[{"model":"ChatGPT","fix":"Teams must operate, benchmark, tune, and update it themselves, and its scanners can add meaningful latency and false positives."},{"model":"Gemini","fix":"Requires substantial developer and ops overhead to configure, run, and scale, and can introduce considerable latency if running multiple deep learning-based scanners locally."}],"updated":"2026-07-14","rank_history":{"days":["2026-07-13","2026-07-14"],"ranks":[null,3]},"api":"https://modelsagree.com/api/v1/best/best-llm-security-tool.json"},{"slug":"best-llm-guardrails-platform","title":"Best LLM guardrails platform","rank":5,"of":9,"score":5,"appearances":1,"modelRanks":{"Grok":1},"reason":"Battle-tested open-source toolkit excelling in fast input/output sanitization, PII redaction, toxicity detection, and prompt injection defense with low overhead; widely adopted for production self-hosted deployments across diverse LLM stacks, offering excellent real-world reliability and customizability without vendor lock-in for the typical app builder or ML engineer.","reasons":[{"model":"Grok","reason":"Battle-tested open-source toolkit excelling in fast input/output sanitization, PII redaction, toxicity detection, and prompt injection defense with low overhead; widely adopted for production self-hosted deployments across diverse LLM stacks, offering excellent real-world reliability and customizability without vendor lock-in for the typical app builder or ML engineer."}],"fixes":[{"model":"Grok","fix":"Requires more manual integration and tuning compared to managed SaaS; NOT for teams seeking zero-setup fully managed service or advanced conversational flow orchestration."}],"updated":"2026-07-19","api":"https://modelsagree.com/api/v1/best/best-llm-guardrails-platform.json"},{"slug":"best-llm-guardrails-tool","title":"Best LLM guardrails tool","rank":9,"of":9,"score":1,"appearances":1,"modelRanks":{"Gemini":5},"reason":"A highly modular, lightweight, open-source library for scanning and sanitizing inputs/outputs locally (such as PII masking and toxicity checks) without third-party API dependencies.","reasons":[{"model":"Gemini","reason":"A highly modular, lightweight, open-source library for scanning and sanitizing inputs/outputs locally (such as PII masking and toxicity checks) without third-party API dependencies."}],"fixes":[{"model":"Gemini","fix":"Requires significant manual tuning and maintenance overhead, and lacks native conversational or state management capabilities."}],"updated":"2026-07-13","reasoning_shift":[{"model":"Gemini","from":"2026-07-12","to":"2026-07-13","added":[{"t":"modular lightweight library","q":"highly modular, lightweight, open-source library"},{"t":"without third-party API dependencies","q":"without third-party API dependencies"},{"t":"manual tuning and maintenance overhead","q":"Requires significant manual tuning and maintenance overhead"}],"dropped":[{"t":"code detection and prompt security","q":"code detection, and prompt security"},{"t":"stateful dialogue flow management","q":"stateful dialogue flow management"},{"t":"context-aware session memory","q":"context-aware session memory"}]}],"api":"https://modelsagree.com/api/v1/best/best-llm-guardrails-tool.json"}],"page":"https://modelsagree.com/product/llm-guard","check":"https://modelsagree.com/check?q=LLM%20Guard","updated":"2026-08-10T18:18:45.051Z","attribution":"modelsagree.com, CC BY 4.0"}