---
title: "chatgpt-plugin-eval vs AI-Infra-Guard"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/llm-platform-security-chatgpt-plugin-eval-vs-tencent-ai-infra-guard"
tools: ["llm-platform-security-chatgpt-plugin-eval", "tencent-ai-infra-guard"]
---

# chatgpt-plugin-eval vs AI-Infra-Guard

*GraphCanon updated Aug 5, 2026*

## Verdict

Pick chatgpt-plugin-eval if chatgpt-plugin-eval is an evaluation framework designed specifically to assess security, privacy, and safety concerns related to third-party plugins interfacing with large language models like ChatGPT; 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.

[chatgpt-plugin-eval](https://llm-platform-security.github.io/chatgpt-plugin-eval/) reports 29 GitHub stars, 7 forks, and 1 open issues, last pushed Jul 29, 2024. [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 [chatgpt-plugin-eval's repository](https://github.com/llm-platform-security/chatgpt-plugin-eval) and [AI-Infra-Guard's repository](https://github.com/Tencent/AI-Infra-Guard).

| | [chatgpt-plugin-eval](/tools/llm-platform-security-chatgpt-plugin-eval.md) | [AI-Infra-Guard](/tools/tencent-ai-infra-guard.md) |
| --- | --- | --- |
| Tagline | Framework for Evaluating Security in LLM Plugin Ecosystems | A full-stack AI Red Teaming platform securing AI ecosystems |
| Stars | 29 | 4,316 |
| Forks | 7 | 419 |
| Open issues | 1 | 13 |
| Language | HTML | Python |
| Adopt for | chatgpt-plugin-eval is an evaluation framework designed specifically to assess security, privacy, and safety concerns related to third-party plugins interfacing with large language models like ChatGPT. | AI-Infra-Guard is designed for organizations looking to secure their AI infrastructures comprehensively through various scanning and evaluation tools. |
| Persona | - | - |
| Runtime | - | - |
| License | The license information for chatgpt-plugin-eval is unknown. | Apache-2.0 |
| Categories | Evaluation & Observability | Evaluation & Observability, LLM Frameworks |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [chatgpt-plugin-eval](/tools/llm-platform-security-chatgpt-plugin-eval.md) | [AI-Infra-Guard](/tools/tencent-ai-infra-guard.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Very active (96%) |
| Days since push | 736d | 0d |
| Open issues (now) | 1 | 13 |
| Full report | [trust report](/tools/llm-platform-security-chatgpt-plugin-eval/trust.md) | [trust report](/tools/tencent-ai-infra-guard/trust.md) |

## Decision facts: chatgpt-plugin-eval

- **Pricing:** freemium
- **Adopt for:** chatgpt-plugin-eval is an evaluation framework designed specifically to assess security, privacy, and safety concerns related to third-party plugins interfacing with large language models like ChatGPT.
- **License detail:** The license information for chatgpt-plugin-eval is unknown.

## 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 chatgpt-plugin-eval if…

- chatgpt-plugin-eval is primarily HTML; AI-Infra-Guard is Python.
- Tags unique to chatgpt-plugin-eval: chatgpt, llm-plugins, privacy, security.
- - When evaluating the security risks of integrating third-party services into your LLM platform through plugins

### Choose AI-Infra-Guard if…

- AI-Infra-Guard is primarily Python; chatgpt-plugin-eval is HTML.
- Tags unique to AI-Infra-Guard: agent-security, ai-red-teaming, llm-evaluation, security-tools.
- 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 chatgpt-plugin-eval

- - In cases where only generic, high-level security guidance is required without an in-depth framework analysis
- - When the primary focus is on improving performance metrics rather than addressing specific security and privacy concerns of LLM plugins

## 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 chatgpt-plugin-eval and AI-Infra-Guard?

chatgpt-plugin-eval: Framework for Evaluating Security in LLM Plugin Ecosystems. 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 chatgpt-plugin-eval over AI-Infra-Guard?

Choose chatgpt-plugin-eval over AI-Infra-Guard when chatgpt-plugin-eval is primarily HTML; AI-Infra-Guard is Python; Tags unique to chatgpt-plugin-eval: chatgpt, llm-plugins, privacy, security; - When evaluating the security risks of integrating third-party services into your LLM platform through plugins.

### When should I choose AI-Infra-Guard over chatgpt-plugin-eval?

Choose AI-Infra-Guard over chatgpt-plugin-eval when AI-Infra-Guard is primarily Python; chatgpt-plugin-eval is HTML; Tags unique to AI-Infra-Guard: agent-security, ai-red-teaming, llm-evaluation, security-tools; 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 chatgpt-plugin-eval?

- In cases where only generic, high-level security guidance is required without an in-depth framework analysis - When the primary focus is on improving performance metrics rather than addressing specific security and privacy concerns of LLM plugins

### 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 chatgpt-plugin-eval or AI-Infra-Guard more popular on GitHub?

AI-Infra-Guard has more GitHub stars (4,316 vs 29). Stars measure visibility, not whether either tool fits your constraints.

### Are chatgpt-plugin-eval and AI-Infra-Guard open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to chatgpt-plugin-eval or AI-Infra-Guard?

GraphCanon lists graph-backed alternatives at [chatgpt-plugin-eval alternatives](/tools/llm-platform-security-chatgpt-plugin-eval/alternatives) and [AI-Infra-Guard alternatives](/tools/tencent-ai-infra-guard/alternatives) ([chatgpt-plugin-eval markdown twin](/tools/llm-platform-security-chatgpt-plugin-eval/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/llm-platform-security-chatgpt-plugin-eval-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, chatgpt-plugin-eval or AI-Infra-Guard?

chatgpt-plugin-eval: Dormant. 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 chatgpt-plugin-eval and AI-Infra-Guard?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [chatgpt-plugin-eval trust report](/tools/llm-platform-security-chatgpt-plugin-eval/trust); [AI-Infra-Guard trust report](/tools/tencent-ai-infra-guard/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=llm-platform-security-chatgpt-plugin-eval`](/api/graphcanon/graph?tool=llm-platform-security-chatgpt-plugin-eval)
- 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/_
