--- title: "garak vs AI-Infra-Guard" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/nvidia-garak-vs-tencent-ai-infra-guard" tools: ["nvidia-garak", "tencent-ai-infra-guard"] --- # garak vs AI-Infra-Guard *GraphCanon updated Aug 5, 2026* ## Verdict Pick garak if lLM Vulnerability Scanner; pick AI-Infra-Guard if aI-Infra-Guard is designed for organizations looking to secure their AI infrastructures comprehensively through various scanning and evaluation tools. [garak](https://discord.gg/uVch4puUCs) reports 8.7k GitHub stars, 1.1k forks, and 374 open issues, last pushed Aug 4, 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 [garak's repository](https://github.com/NVIDIA/garak) and [AI-Infra-Guard's repository](https://github.com/Tencent/AI-Infra-Guard). | | [garak](/tools/nvidia-garak.md) | [AI-Infra-Guard](/tools/tencent-ai-infra-guard.md) | | --- | --- | --- | | Tagline | LLM vulnerability scanner | A full-stack AI Red Teaming platform securing AI ecosystems | | Stars | 8,696 | 4,316 | | Forks | 1,145 | 419 | | Open issues | 374 | 13 | | Language | Python | Python | | Adopt for | LLM Vulnerability Scanner | AI-Infra-Guard is designed for organizations looking to secure their AI infrastructures comprehensively through various scanning and evaluation tools. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Evaluation & Observability | Evaluation & Observability, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [garak](/tools/nvidia-garak.md) | [AI-Infra-Guard](/tools/tencent-ai-infra-guard.md) | | --- | --- | --- | | Open issues (now) | 374 | 13 | | Full report | [trust report](/tools/nvidia-garak/trust.md) | [trust report](/tools/tencent-ai-infra-guard/trust.md) | ## Shared compatibility - **Python**: [garak](/tools/nvidia-garak.md) - Python runtime; [AI-Infra-Guard](/tools/tencent-ai-infra-guard.md) - Python runtime ## Decision facts: garak - **Adopt for:** LLM Vulnerability Scanner - **License detail:** Apache-2.0 ## 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 garak if… - Tags unique to garak: ai, security-scanners, vulnerability-assessment. - When needing to assess the security and reliability of language models specifically using a tool developed by NVIDIA. - More GitHub stars (8.7k vs 4.3k) - visibility, not fit. ### Choose AI-Infra-Guard if… - Tags unique to AI-Infra-Guard: agent-security, ai-red-teaming, security-tools, 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 garak - When the targeted model is not supported by 'garak', such as some specialized API-based generators that need specific configurations beyond setting environment variables. - If real-time updates are necessary, as the PyPI version of garak might lag behind the development version available on GitHub. ## 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 garak and AI-Infra-Guard? garak: LLM vulnerability scanner. 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 garak over AI-Infra-Guard? Choose garak over AI-Infra-Guard when Tags unique to garak: ai, security-scanners, vulnerability-assessment; When needing to assess the security and reliability of language models specifically using a tool developed by NVIDIA; More GitHub stars (8.7k vs 4.3k) - visibility, not fit. ### When should I choose AI-Infra-Guard over garak? Choose AI-Infra-Guard over garak when Tags unique to AI-Infra-Guard: agent-security, ai-red-teaming, security-tools, 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 garak? When the targeted model is not supported by 'garak', such as some specialized API-based generators that need specific configurations beyond setting environment variables. If real-time updates are necessary, as the PyPI version of garak might lag behind the development version available on GitHub. ### 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 garak or AI-Infra-Guard more popular on GitHub? garak has more GitHub stars (8,696 vs 4,316). Stars measure visibility, not whether either tool fits your constraints. ### Are garak and AI-Infra-Guard open source? Yes - both are open-source projects on GitHub (garak: Apache-2.0, AI-Infra-Guard: Apache-2.0). ### Where can I find alternatives to garak or AI-Infra-Guard? GraphCanon lists graph-backed alternatives at [garak alternatives](/tools/nvidia-garak/alternatives) and [AI-Infra-Guard alternatives](/tools/tencent-ai-infra-guard/alternatives) ([garak markdown twin](/tools/nvidia-garak/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/nvidia-garak-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, garak or AI-Infra-Guard? garak: Very active. 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 garak and AI-Infra-Guard? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [garak trust report](/tools/nvidia-garak/trust); [AI-Infra-Guard trust report](/tools/tencent-ai-infra-guard/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=nvidia-garak`](/api/graphcanon/graph?tool=nvidia-garak) - 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/_