---
title: "agentic_security vs AI-Infra-Guard"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/msoedov-agentic-security-vs-tencent-ai-infra-guard"
tools: ["msoedov-agentic-security", "tencent-ai-infra-guard"]
---

# agentic_security vs AI-Infra-Guard

*GraphCanon updated Jul 28, 2026*

## Verdict

Pick agentic_security if agentic Security is an agent-based framework for scanning vulnerabilities in large language models with a Python-based toolkit for robust security assessments via fuzz testing; 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.

[agentic_security](https://agentic-security.vercel.app) reports 1.9k GitHub stars, 270 forks, and 70 open issues, last pushed Jun 23, 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 [agentic_security's repository](https://github.com/msoedov/agentic_security) and [AI-Infra-Guard's repository](https://github.com/Tencent/AI-Infra-Guard).

| | [agentic_security](/tools/msoedov-agentic-security.md) | [AI-Infra-Guard](/tools/tencent-ai-infra-guard.md) |
| --- | --- | --- |
| Tagline | Agentic LLM Vulnerability Scanner / AI red teaming kit | A full-stack AI Red Teaming platform securing AI ecosystems |
| Stars | 1,943 | 4,316 |
| Forks | 270 | 419 |
| Open issues | 70 | 13 |
| Language | Python | Python |
| Adopt for | Agentic Security is an agent-based framework for scanning vulnerabilities in large language models with a Python-based toolkit for robust security assessments via fuzz testing. | 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 - Permissive license encouraging free use and modification under the condition of preserving notices. | Apache-2.0 |
| Categories | Evaluation & Observability, LLM Frameworks | Evaluation & Observability, LLM Frameworks |

## Trust and health

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

| | [agentic_security](/tools/msoedov-agentic-security.md) | [AI-Infra-Guard](/tools/tencent-ai-infra-guard.md) |
| --- | --- | --- |
| Maintenance | Steady (60%) | Very active (96%) |
| Days since push | 35d | 0d |
| Open issues (now) | 70 | 13 |
| Owner type | User | Organization |
| Full report | [trust report](/tools/msoedov-agentic-security/trust.md) | [trust report](/tools/tencent-ai-infra-guard/trust.md) |

## Shared compatibility

- **Python**: [agentic_security](/tools/msoedov-agentic-security.md) - Python runtime; [AI-Infra-Guard](/tools/tencent-ai-infra-guard.md) - Python runtime

## Decision facts: agentic_security

- **Adopt for:** Agentic Security is an agent-based framework for scanning vulnerabilities in large language models with a Python-based toolkit for robust security assessments via fuzz testing.
- **License detail:** Apache-2.0 - Permissive license encouraging free use and modification under the condition of preserving notices.

## 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 agentic_security if…

- Tags unique to agentic_security: agent-framework, fuzzing, red-teaming, security-assessment.
- Developers need to ensure their LLMs are secure from jailbreak attempts and vulnerabilities.

### Choose AI-Infra-Guard if…

- Tags unique to AI-Infra-Guard: agent-security, ai-red-teaming, security-tools, skills-security.
- If you need advanced LLM jailbreak evaluation capabilities specific to the vulnerabilities identified by Tencent's research, consider using AI-Infra-Guard.
- More GitHub stars (4.3k vs 1.9k) - visibility, not fit.

## When NOT to use agentic_security

- Teams require solutions that do not involve agent frameworks for vulnerability scanning.
- Projects seek a no-fuzz-testing approach for evaluating LLM security.

## 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 agentic_security and AI-Infra-Guard?

agentic_security: Agentic LLM Vulnerability Scanner / AI red teaming kit. 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 agentic_security over AI-Infra-Guard?

Choose agentic_security over AI-Infra-Guard when Tags unique to agentic_security: agent-framework, fuzzing, red-teaming, security-assessment; Developers need to ensure their LLMs are secure from jailbreak attempts and vulnerabilities.

### When should I choose AI-Infra-Guard over agentic_security?

Choose AI-Infra-Guard over agentic_security when Tags unique to AI-Infra-Guard: agent-security, ai-red-teaming, security-tools, skills-security; If you need advanced LLM jailbreak evaluation capabilities specific to the vulnerabilities identified by Tencent's research, consider using AI-Infra-Guard; More GitHub stars (4.3k vs 1.9k) - visibility, not fit.

### When should I avoid agentic_security?

Teams require solutions that do not involve agent frameworks for vulnerability scanning. Projects seek a no-fuzz-testing approach for evaluating LLM security.

### 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 agentic_security or AI-Infra-Guard more popular on GitHub?

AI-Infra-Guard has more GitHub stars (4,316 vs 1,943). Stars measure visibility, not whether either tool fits your constraints.

### Are agentic_security and AI-Infra-Guard open source?

Yes - both are open-source projects on GitHub (agentic_security: Apache-2.0, AI-Infra-Guard: Apache-2.0).

### Where can I find alternatives to agentic_security or AI-Infra-Guard?

GraphCanon lists graph-backed alternatives at [agentic_security alternatives](/tools/msoedov-agentic-security/alternatives) and [AI-Infra-Guard alternatives](/tools/tencent-ai-infra-guard/alternatives) ([agentic_security markdown twin](/tools/msoedov-agentic-security/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/msoedov-agentic-security-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, agentic_security or AI-Infra-Guard?

agentic_security: Steady. 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 agentic_security and AI-Infra-Guard?

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

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=msoedov-agentic-security`](/api/graphcanon/graph?tool=msoedov-agentic-security)
- 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/_
