--- title: "AI-Infra-Guard vs gateway" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/tencent-ai-infra-guard-vs-trylonai-gateway" tools: ["tencent-ai-infra-guard", "trylonai-gateway"] --- # AI-Infra-Guard vs gateway *GraphCanon updated Aug 10, 2026* ## Verdict 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; pick gateway if self-hosted firewall for securing AI applications with guardrails and content moderation. [AI-Infra-Guard](https://tencent.github.io/AI-Infra-Guard/) reports 4.3k GitHub stars, 419 forks, and 13 open issues, last pushed Jul 28, 2026. [gateway](https://www.trylon.ai) has 127 stars, 12 forks, and 0 open issues, last pushed Jun 25, 2025. Figures are from public GitHub metadata via [AI-Infra-Guard's repository](https://github.com/Tencent/AI-Infra-Guard) and [gateway's repository](https://github.com/trylonai/gateway). | | [AI-Infra-Guard](/tools/tencent-ai-infra-guard.md) | [gateway](/tools/trylonai-gateway.md) | | --- | --- | --- | | Tagline | A full-stack AI Red Teaming platform securing AI ecosystems | Self-hosted firewall for securing AI applications with guardrails and content moderation. | | Stars | 4,316 | 127 | | Forks | 419 | 12 | | Open issues | 13 | 0 | | 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. | Self-hosted firewall for securing AI applications with guardrails and content moderation. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | Evaluation & Observability, LLM Frameworks | Evaluation & Observability, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [AI-Infra-Guard](/tools/tencent-ai-infra-guard.md) | [gateway](/tools/trylonai-gateway.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 410d | | Open issues (now) | 13 | 0 | | Full report | [trust report](/tools/tencent-ai-infra-guard/trust.md) | [trust report](/tools/trylonai-gateway/trust.md) | ## 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. ## Decision facts: gateway - **Pricing:** freemium - Open-source with no explicit monetary cost, but requires users to handle infrastructure costs associated with local Docker deployment - **Requirements:** Min 4 GB RAM; Requires Docker; Docker and Docker Compose are required for deployment; Initial launch takes several minutes due to downloading machine learning models (~1.5GB+) for the first time - **Adopt for:** Self-hosted firewall for securing AI applications with guardrails and content moderation. ## Choose when ### Choose AI-Infra-Guard if… - License: AI-Infra-Guard is Apache-2.0, gateway is Other. - Tags unique to AI-Infra-Guard: agent-security, ai-red-teaming, llm-evaluation, security-tools. - If you need advanced LLM jailbreak evaluation capabilities specific to the vulnerabilities identified by Tencent's research, consider using AI-Infra-Guard. ### Choose gateway if… - License: gateway is Other, AI-Infra-Guard is Apache-2.0. - Pricing: Open-source with no explicit monetary cost, but requires users to handle infrastructure costs associated with local Docker deployment. - Requirements: Min 4 GB RAM; Requires Docker; Docker and Docker Compose are required for deployment; Initial launch takes several minutes due to downloading machine learning models (~1.5GB+) for the first time. - Tags unique to gateway: content-moderation, docker-compose, guardrails, pii-redaction. - When you need to self-host a secure gateway for LLM-based AI applications that requires local deployment via Docker ## 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. ## When NOT to use gateway - Avoid if you are looking for cloud-managed services, as this tool is designed solely for local or self-hosted environments - Not suitable if you require extensive customization beyond the provided policies.yaml file and predefined guardrails for content moderation and security ## Common questions ### What is the difference between AI-Infra-Guard and gateway? AI-Infra-Guard: A full-stack AI Red Teaming platform securing AI ecosystems. gateway: Self-hosted firewall for securing AI applications with guardrails and content moderation.. See the comparison table for live GitHub stats and shared categories. ### When should I choose AI-Infra-Guard over gateway? Choose AI-Infra-Guard over gateway when License: AI-Infra-Guard is Apache-2.0, gateway is Other; Tags unique to AI-Infra-Guard: agent-security, ai-red-teaming, llm-evaluation, security-tools; 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 choose gateway over AI-Infra-Guard? Choose gateway over AI-Infra-Guard when License: gateway is Other, AI-Infra-Guard is Apache-2.0; Pricing: Open-source with no explicit monetary cost, but requires users to handle infrastructure costs associated with local Docker deployment; Requirements: Min 4 GB RAM; Requires Docker; Docker and Docker Compose are required for deployment; Initial launch takes several minutes due to downloading machine learning models (~1.5GB+) for the first time; Tags unique to gateway: content-moderation, docker-compose, guardrails, pii-redaction; When you need to self-host a secure gateway for LLM-based AI applications that requires local deployment via Docker. ### 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. ### When should I avoid gateway? Avoid if you are looking for cloud-managed services, as this tool is designed solely for local or self-hosted environments Not suitable if you require extensive customization beyond the provided policies.yaml file and predefined guardrails for content moderation and security ### Is AI-Infra-Guard or gateway more popular on GitHub? AI-Infra-Guard has more GitHub stars (4,316 vs 127). Stars measure visibility, not whether either tool fits your constraints. ### Are AI-Infra-Guard and gateway open source? Yes - both are open-source projects on GitHub (AI-Infra-Guard: Apache-2.0, gateway: Other). ### Where can I find alternatives to AI-Infra-Guard or gateway? GraphCanon lists graph-backed alternatives at [AI-Infra-Guard alternatives](/tools/tencent-ai-infra-guard/alternatives) and [gateway alternatives](/tools/trylonai-gateway/alternatives) ([AI-Infra-Guard markdown twin](/tools/tencent-ai-infra-guard/alternatives.md), [gateway markdown twin](/tools/trylonai-gateway/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/tencent-ai-infra-guard-vs-trylonai-gateway.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, AI-Infra-Guard or gateway? AI-Infra-Guard: Very active. gateway: Dormant. 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 AI-Infra-Guard and gateway? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AI-Infra-Guard trust report](/tools/tencent-ai-infra-guard/trust); [gateway trust report](/tools/trylonai-gateway/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=tencent-ai-infra-guard`](/api/graphcanon/graph?tool=tencent-ai-infra-guard) - 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/_