Home/Compare/awesome-llm-security vs AI-Infra-Guard

Comparison

awesome-llm-security vs AI-Infra-Guard

Verdict

Pick awesome-llm-security if awesome LLM Security is a curated list of resources related to the security aspects of large language models. It covers various attack methodologies, defenses, and platform security through papers, benchmarks, tools, and; 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.

Markdown twin · awesome-llm-security alternatives · AI-Infra-Guard alternatives

GraphCanon updated 1w

awesome-llm-security logo

awesome-llm-security

corca-ai/awesome-llm-security

1.7kpushed Aug 20, 2025
vs
AI-Infra-Guard logo

AI-Infra-Guard

Tencent/AI-Infra-Guard

4.3kpushed Jul 28, 2026

Trust & integrity

Signalawesome-llm-securityAI-Infra-Guard
Maintenance
Slowing (351d since push)
As of 1w · github_public_v1
Very active (0d since push)
As of 3w · github_public_v1
Provenance
Not a fork · Organization account
As of 1w · github_public_v1
Not a fork · Organization account
As of 3w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

awesome-llm-security
A curation of tools, documents and projects about LLM Security
AI-Infra-Guard
A full-stack AI Red Teaming platform securing AI ecosystems

Stars

awesome-llm-security
1.7k
AI-Infra-Guard
4.3k

Forks

awesome-llm-security
312
AI-Infra-Guard
419

Open issues

awesome-llm-security
173
AI-Infra-Guard
13

Language

awesome-llm-security
-
AI-Infra-Guard
Python

Adopt for

awesome-llm-security
Awesome LLM Security is a curated list of resources related to the security aspects of large language models. It covers various attack methodologies, defenses, and platform security through papers, benchmarks, tools, and
AI-Infra-Guard
AI-Infra-Guard is designed for organizations looking to secure their AI infrastructures comprehensively through various scanning and evaluation tools.

Persona

awesome-llm-security
-
AI-Infra-Guard
-

Runtime

awesome-llm-security
-
AI-Infra-Guard
-

License

awesome-llm-security
-
AI-Infra-Guard
Apache-2.0

Last pushed

awesome-llm-security
Aug 20, 2025
AI-Infra-Guard
Jul 28, 2026

Categories

awesome-llm-security
Evaluation & Observability
AI-Infra-Guard
Evaluation & Observability, LLM Frameworks

Trust and health

Maintenance

awesome-llm-security
Slowing (36%)
AI-Infra-Guard
Very active (96%)

Days since push

awesome-llm-security
351d
AI-Infra-Guard
0d

Open issues (now)

awesome-llm-security
173
AI-Infra-Guard
13

Full report

awesome-llm-security
Trust report
AI-Infra-Guard
Trust report

Choose awesome-llm-security if…

  • Pricing: As an open-source project without defined pricing models, its use is generally free under the terms of its license (license details are not provided)..
  • Tags unique to awesome-llm-security: awesome-list, llm, security.
  • When you are specifically looking for detailed information on both white-box and black-box attacks targeted at Large Language Models (LLMs), which 'awesome-llm-security' comprehensively catalogs.

When NOT to use awesome-llm-security

  • When your primary interest is in general software security or vulnerabilities unrelated to language models, since 'awesome-llm-security' zeroes in on attack vectors specifically for LLMs.
  • If you are solely interested in tools and methods that are not publicly discussed or peer-reviewed; the repository focuses on documented approaches within reputable academic publications.

Choose AI-Infra-Guard if…

  • 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 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: awesome-llm-security 1.7k · AI-Infra-Guard 4.3k (synced Aug 6, 2026).

Common questions

What is the difference between awesome-llm-security and AI-Infra-Guard?
awesome-llm-security: A curation of tools, documents and projects about LLM 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 awesome-llm-security over AI-Infra-Guard?
Choose awesome-llm-security over AI-Infra-Guard when Pricing: As an open-source project without defined pricing models, its use is generally free under the terms of its license (license details are not provided).; Tags unique to awesome-llm-security: awesome-list, llm, security; When you are specifically looking for detailed information on both white-box and black-box attacks targeted at Large Language Models (LLMs), which 'awesome-llm-security' comprehensively catalogs.
When should I choose AI-Infra-Guard over awesome-llm-security?
Choose AI-Infra-Guard over awesome-llm-security when 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 awesome-llm-security?
When your primary interest is in general software security or vulnerabilities unrelated to language models, since 'awesome-llm-security' zeroes in on attack vectors specifically for LLMs. If you are solely interested in tools and methods that are not publicly discussed or peer-reviewed; the repository focuses on documented approaches within reputable academic publications.
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 awesome-llm-security or AI-Infra-Guard more popular on GitHub?
AI-Infra-Guard has more GitHub stars (4,316 vs 1,672). Stars measure visibility, not whether either tool fits your constraints.
Are awesome-llm-security and AI-Infra-Guard open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to awesome-llm-security or AI-Infra-Guard?
GraphCanon lists graph-backed alternatives at awesome-llm-security alternatives and AI-Infra-Guard alternatives (awesome-llm-security markdown twin, AI-Infra-Guard markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, awesome-llm-security or AI-Infra-Guard?
awesome-llm-security: 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 awesome-llm-security and AI-Infra-Guard?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-llm-security trust report; AI-Infra-Guard trust report.

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