--- title: "ps-fuzz vs llm-guard" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/prompt-security-ps-fuzz-vs-protectai-llm-guard" tools: ["prompt-security-ps-fuzz", "protectai-llm-guard"] --- # ps-fuzz vs llm-guard *GraphCanon updated Aug 5, 2026* ## Verdict Pick ps-fuzz when tags unique to ps-fuzz: ai-fuzzer, fuzzer, generative-ai, llm-fuzzer; pick llm-guard when requirements: Min 2 GB RAM; Ensure you have Python version 3.9 or higher.; Some advanced features require additional libraries which are automatically installed as needed.. [ps-fuzz](https://www.prompt.security/fuzzer) reports 702 GitHub stars, 102 forks, and 20 open issues, last pushed Feb 16, 2026. [llm-guard](https://protectai.github.io/llm-guard/) has 3.2k stars, 435 forks, and 40 open issues, last pushed Jul 8, 2026. Figures are from public GitHub metadata via [ps-fuzz's repository](https://github.com/prompt-security/ps-fuzz) and [llm-guard's repository](https://github.com/protectai/llm-guard). | | [ps-fuzz](/tools/prompt-security-ps-fuzz.md) | [llm-guard](/tools/protectai-llm-guard.md) | | --- | --- | --- | | Tagline | Test and harden system prompts for GenAI apps to ensure safety and security. | The Security Toolkit for LLM Interactions | | Stars | 702 | 3,202 | | Forks | 102 | 435 | | Open issues | 20 | 40 | | Language | Python | Python | | Adopt for | - | LLM Guard is a toolkit tailored for securing interactions with large language models, focusing on safeguarding against prompt injection and adversarial attacks. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Developer Tools, Evaluation & Observability | Developer Tools, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ps-fuzz](/tools/prompt-security-ps-fuzz.md) | [llm-guard](/tools/protectai-llm-guard.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Archived (8%) | | Days since push | 169d | 27d | | Archived on GitHub | No | Yes | | Open issues (now) | 20 | 40 | | Full report | [trust report](/tools/prompt-security-ps-fuzz/trust.md) | [trust report](/tools/protectai-llm-guard/trust.md) | ## Shared compatibility - **Python**: [ps-fuzz](/tools/prompt-security-ps-fuzz.md) - Python runtime; [llm-guard](/tools/protectai-llm-guard.md) - Python runtime ## Decision facts: llm-guard - **Requirements:** Min 2 GB RAM; Ensure you have Python version 3.9 or higher.; Some advanced features require additional libraries which are automatically installed as needed. - **Adopt for:** LLM Guard is a toolkit tailored for securing interactions with large language models, focusing on safeguarding against prompt injection and adversarial attacks. ## Choose when ### Choose ps-fuzz if… - Tags unique to ps-fuzz: ai-fuzzer, fuzzer, generative-ai, llm-fuzzer. - When you need to methodically test system prompts in generative AI applications for potential security flaws. - Leaner open-issue backlog (20). ### Choose llm-guard if… - Requirements: Min 2 GB RAM; Ensure you have Python version 3.9 or higher.; Some advanced features require additional libraries which are automatically installed as needed.. - Tags unique to llm-guard: adversarial-machine-learning, chatgpt, large language models, llm security. - - You need to secure your application from sophisticated prompt injection techniques. ## When NOT to use ps-fuzz - If your project does not involve generative AI applications or does not require prompt testing for security reasons. - For tasks unrelated to the hardening and evaluation of system prompts, as ps-fuzz is specifically designed for this purpose. ## When NOT to use llm-guard - - If you are working in a low-security environment or with small-scale projects where advanced security mechanisms are not necessary. - - In cases where integrating external libraries and ensuring Python version compatibility may introduce complexities that outweigh the benefits. ## Common questions ### What is the difference between ps-fuzz and llm-guard? ps-fuzz: Test and harden system prompts for GenAI apps to ensure safety and security.. llm-guard: The Security Toolkit for LLM Interactions. See the comparison table for live GitHub stats and shared categories. ### When should I choose ps-fuzz over llm-guard? Choose ps-fuzz over llm-guard when Tags unique to ps-fuzz: ai-fuzzer, fuzzer, generative-ai, llm-fuzzer; When you need to methodically test system prompts in generative AI applications for potential security flaws; Leaner open-issue backlog (20). ### When should I choose llm-guard over ps-fuzz? Choose llm-guard over ps-fuzz when Requirements: Min 2 GB RAM; Ensure you have Python version 3.9 or higher.; Some advanced features require additional libraries which are automatically installed as needed.; Tags unique to llm-guard: adversarial-machine-learning, chatgpt, large language models, llm security; - You need to secure your application from sophisticated prompt injection techniques. ### When should I avoid ps-fuzz? If your project does not involve generative AI applications or does not require prompt testing for security reasons. For tasks unrelated to the hardening and evaluation of system prompts, as ps-fuzz is specifically designed for this purpose. ### When should I avoid llm-guard? - If you are working in a low-security environment or with small-scale projects where advanced security mechanisms are not necessary. - In cases where integrating external libraries and ensuring Python version compatibility may introduce complexities that outweigh the benefits. ### Is ps-fuzz or llm-guard more popular on GitHub? llm-guard has more GitHub stars (3,202 vs 702). Stars measure visibility, not whether either tool fits your constraints. ### Are ps-fuzz and llm-guard open source? Yes - both are open-source projects on GitHub (ps-fuzz: MIT, llm-guard: MIT). ### Where can I find alternatives to ps-fuzz or llm-guard? GraphCanon lists graph-backed alternatives at [ps-fuzz alternatives](/tools/prompt-security-ps-fuzz/alternatives) and [llm-guard alternatives](/tools/protectai-llm-guard/alternatives) ([ps-fuzz markdown twin](/tools/prompt-security-ps-fuzz/alternatives.md), [llm-guard markdown twin](/tools/protectai-llm-guard/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/prompt-security-ps-fuzz-vs-protectai-llm-guard.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ps-fuzz or llm-guard? ps-fuzz: Slowing. llm-guard: Archived. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for ps-fuzz and llm-guard? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ps-fuzz trust report](/tools/prompt-security-ps-fuzz/trust); [llm-guard trust report](/tools/protectai-llm-guard/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=prompt-security-ps-fuzz`](/api/graphcanon/graph?tool=prompt-security-ps-fuzz) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_