--- title: "ps-fuzz vs AI-Infra-Guard" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/prompt-security-ps-fuzz-vs-tencent-ai-infra-guard" tools: ["prompt-security-ps-fuzz", "tencent-ai-infra-guard"] --- # ps-fuzz vs AI-Infra-Guard *GraphCanon updated Aug 5, 2026* ## Verdict Pick ps-fuzz when license: ps-fuzz is MIT, AI-Infra-Guard is Apache-2.0; pick AI-Infra-Guard when license: AI-Infra-Guard is Apache-2.0, ps-fuzz is MIT. [ps-fuzz](https://www.prompt.security/fuzzer) reports 702 GitHub stars, 102 forks, and 20 open issues, last pushed Feb 16, 2026. [AI-Infra-Guard](https://tencent.github.io/AI-Infra-Guard/) has 4.3k stars, 419 forks, and 13 open issues, last pushed Jul 28, 2026. Figures are from public GitHub metadata via [ps-fuzz's repository](https://github.com/prompt-security/ps-fuzz) and [AI-Infra-Guard's repository](https://github.com/Tencent/AI-Infra-Guard). | | [ps-fuzz](/tools/prompt-security-ps-fuzz.md) | [AI-Infra-Guard](/tools/tencent-ai-infra-guard.md) | | --- | --- | --- | | Tagline | Test and harden system prompts for GenAI apps to ensure safety and security. | A full-stack AI Red Teaming platform securing AI ecosystems | | Stars | 702 | 4,316 | | Forks | 102 | 419 | | Open issues | 20 | 13 | | Language | Python | Python | | Adopt for | - | AI-Infra-Guard is designed for organizations looking to secure their AI infrastructures comprehensively through various scanning and evaluation tools. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Developer Tools, Evaluation & Observability | Evaluation & Observability, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ps-fuzz](/tools/prompt-security-ps-fuzz.md) | [AI-Infra-Guard](/tools/tencent-ai-infra-guard.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 169d | 0d | | Open issues (now) | 20 | 13 | | Full report | [trust report](/tools/prompt-security-ps-fuzz/trust.md) | [trust report](/tools/tencent-ai-infra-guard/trust.md) | ## Shared compatibility - **Python**: [ps-fuzz](/tools/prompt-security-ps-fuzz.md) - Python runtime; [AI-Infra-Guard](/tools/tencent-ai-infra-guard.md) - Python runtime ## Decision facts: AI-Infra-Guard - **Adopt for:** AI-Infra-Guard is designed for organizations looking to secure their AI infrastructures comprehensively through various scanning and evaluation tools. ## Choose when ### Choose ps-fuzz if… - License: ps-fuzz is MIT, AI-Infra-Guard is Apache-2.0. - Tags unique to ps-fuzz: ai-fuzzer, fuzzer, generative-ai, llm-fuzzer. - Also covers Developer Tools. - When you need to methodically test system prompts in generative AI applications for potential security flaws. ### Choose AI-Infra-Guard if… - License: AI-Infra-Guard is Apache-2.0, ps-fuzz is MIT. - Tags unique to AI-Infra-Guard: agent-security, ai-red-teaming, llm-evaluation, skills-security. - Also covers LLM Frameworks. - AI-Infra-Guard ships Docker support for self-hosted deployment. - If you need advanced LLM jailbreak evaluation capabilities specific to the vulnerabilities identified by Tencent's research, consider using AI-Infra-Guard. ## 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 AI-Infra-Guard - Avoid if you are looking exclusively for a tool that focuses solely on the runtime behavior of LLMs without broader infrastructural scanning capabilities. - Not recommended when your primary focus is on network-level security rather than comprehensive AI infrastructure security assessments and evaluations. ## Common questions ### What is the difference between ps-fuzz and AI-Infra-Guard? ps-fuzz: Test and harden system prompts for GenAI apps to ensure safety and security.. AI-Infra-Guard: A full-stack AI Red Teaming platform securing AI ecosystems. See the comparison table for live GitHub stats and shared categories. ### When should I choose ps-fuzz over AI-Infra-Guard? Choose ps-fuzz over AI-Infra-Guard when License: ps-fuzz is MIT, AI-Infra-Guard is Apache-2.0; Tags unique to ps-fuzz: ai-fuzzer, fuzzer, generative-ai, llm-fuzzer; Also covers Developer Tools; When you need to methodically test system prompts in generative AI applications for potential security flaws. ### When should I choose AI-Infra-Guard over ps-fuzz? Choose AI-Infra-Guard over ps-fuzz when License: AI-Infra-Guard is Apache-2.0, ps-fuzz is MIT; Tags unique to AI-Infra-Guard: agent-security, ai-red-teaming, llm-evaluation, skills-security; Also covers LLM Frameworks; AI-Infra-Guard ships Docker support for self-hosted deployment; If you need advanced LLM jailbreak evaluation capabilities specific to the vulnerabilities identified by Tencent's research, consider using AI-Infra-Guard. ### 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 AI-Infra-Guard? Avoid if you are looking exclusively for a tool that focuses solely on the runtime behavior of LLMs without broader infrastructural scanning capabilities. Not recommended when your primary focus is on network-level security rather than comprehensive AI infrastructure security assessments and evaluations. ### Is ps-fuzz or AI-Infra-Guard more popular on GitHub? AI-Infra-Guard has more GitHub stars (4,316 vs 702). Stars measure visibility, not whether either tool fits your constraints. ### Are ps-fuzz and AI-Infra-Guard open source? Yes - both are open-source projects on GitHub (ps-fuzz: MIT, AI-Infra-Guard: Apache-2.0). ### Where can I find alternatives to ps-fuzz or AI-Infra-Guard? GraphCanon lists graph-backed alternatives at [ps-fuzz alternatives](/tools/prompt-security-ps-fuzz/alternatives) and [AI-Infra-Guard alternatives](/tools/tencent-ai-infra-guard/alternatives) ([ps-fuzz markdown twin](/tools/prompt-security-ps-fuzz/alternatives.md), [AI-Infra-Guard markdown twin](/tools/tencent-ai-infra-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-tencent-ai-infra-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 AI-Infra-Guard? ps-fuzz: Slowing. AI-Infra-Guard: Very active. 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 AI-Infra-Guard? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ps-fuzz trust report](/tools/prompt-security-ps-fuzz/trust); [AI-Infra-Guard trust report](/tools/tencent-ai-infra-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/_