Home/Compare/llm-guard vs AI-Infra-Guard

Comparison

llm-guard vs AI-Infra-Guard

Verdict

Pick llm-guard if lLM Guard is a toolkit tailored for securing interactions with large language models, focusing on safeguarding against prompt injection and adversarial attacks; 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 · llm-guard alternatives · AI-Infra-Guard alternatives

GraphCanon updated Oct 6, 2026

10views this month

llm-guard logo

llm-guard

protectai/llm-guard

★ 3.2kpushed Jul 8, 2026
vs
AI-Infra-Guard logo

AI-Infra-Guard

Tencent/AI-Infra-Guard

★ 6.5kpushed Sep 20, 2026

Trust & integrity

Signalllm-guardAI-Infra-Guard
Maintenance
Archived (89d since push)
As of Oct 6, 2026 · github_public_v1
Very active (0d since push)
As of Sep 20, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Oct 6, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 20, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 11, 2026 · 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

llm-guard
The Security Toolkit for LLM Interactions
AI-Infra-Guard
A full-stack AI Red Teaming platform securing AI ecosystems

Stars

llm-guard
3.2k
AI-Infra-Guard
6.5k

Forks

llm-guard
462
AI-Infra-Guard
599

Open issues

llm-guard
38
AI-Infra-Guard
32

Language

llm-guard
Python
AI-Infra-Guard
Python

Adopt for

llm-guard
LLM Guard is a toolkit tailored for securing interactions with large language models, focusing on safeguarding against prompt injection and adversarial attacks.
AI-Infra-Guard
AI-Infra-Guard is designed for organizations looking to secure their AI infrastructures comprehensively through various scanning and evaluation tools.

Persona

llm-guard
-
AI-Infra-Guard
-

Runtime

llm-guard
-
AI-Infra-Guard
-

License

llm-guard
MIT
AI-Infra-Guard
Apache-2.0

Last pushed

llm-guard
Jul 8, 2026
AI-Infra-Guard
Sep 20, 2026

Categories

llm-guard
Developer Tools, Evaluation & Observability
AI-Infra-Guard
Evaluation & Observability, LLM Frameworks

Trust and health

Maintenance

llm-guard
Archived (8%)
AI-Infra-Guard
Very active (96%)

Days since push

llm-guard
89d
AI-Infra-Guard
0d

Archived on GitHub

llm-guard
Yes
AI-Infra-Guard
No

Open issues (now)

llm-guard
38
AI-Infra-Guard
32

Stars delta

llm-guard
+9 (30d)
AI-Infra-Guard
+2.2k (30d)

Open issues delta

llm-guard
0 (30d)
AI-Infra-Guard
+19 (30d)

Full report

llm-guard
Trust report
AI-Infra-Guard
Trust report

Shared compatibility

  • Python · llm-guard: Python runtime · AI-Infra-Guard: Python runtime

Choose llm-guard if…

  • License: llm-guard is MIT, AI-Infra-Guard is Apache-2.0.
  • Requirements: Min 2 GB RAM; Ensure you have Python version 3.9 or higher.; Some advanced features require additional libraries which are automatically installed as needed..
  • Tags unique to llm-guard: adversarial-machine-learning, chatgpt, large-language-models, llm-security.
  • Also covers Developer Tools.
  • - You need to secure your application from sophisticated prompt injection techniques.

When NOT to use llm-guard

  • - If you are working in a low-security environment or with small-scale projects where advanced security mechanisms are not necessary.
  • - In cases where integrating external libraries and ensuring Python version compatibility may introduce complexities that outweigh the benefits.

Choose AI-Infra-Guard if…

  • License: AI-Infra-Guard is Apache-2.0, llm-guard is MIT.
  • Tags unique to AI-Infra-Guard: agent-security, ai-red-teaming, llm-evaluation, 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 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: llm-guard 3.2k · AI-Infra-Guard 6.5k (synced Oct 6, 2026).

Common questions

What is the difference between llm-guard and AI-Infra-Guard?
llm-guard: The Security Toolkit for LLM Interactions. 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 llm-guard over AI-Infra-Guard?
Choose llm-guard over AI-Infra-Guard when License: llm-guard is MIT, AI-Infra-Guard is Apache-2.0; Requirements: Min 2 GB RAM; Ensure you have Python version 3.9 or higher.; Some advanced features require additional libraries which are automatically installed as needed.; Tags unique to llm-guard: adversarial-machine-learning, chatgpt, large-language-models, llm-security; Also covers Developer Tools; - You need to secure your application from sophisticated prompt injection techniques.
When should I choose AI-Infra-Guard over llm-guard?
Choose AI-Infra-Guard over llm-guard when License: AI-Infra-Guard is Apache-2.0, llm-guard is MIT; Tags unique to AI-Infra-Guard: agent-security, ai-red-teaming, llm-evaluation, 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 llm-guard?
- If you are working in a low-security environment or with small-scale projects where advanced security mechanisms are not necessary. - In cases where integrating external libraries and ensuring Python version compatibility may introduce complexities that outweigh the benefits.
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 llm-guard or AI-Infra-Guard more popular on GitHub?
AI-Infra-Guard has more GitHub stars (6,471 vs 3,213). Stars measure visibility, not whether either tool fits your constraints.
Are llm-guard and AI-Infra-Guard open source?
Yes - both are open-source projects on GitHub (llm-guard: MIT, AI-Infra-Guard: Apache-2.0).
Where can I find alternatives to llm-guard or AI-Infra-Guard?
GraphCanon lists graph-backed alternatives at llm-guard alternatives and AI-Infra-Guard alternatives (llm-guard 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, llm-guard or AI-Infra-Guard?
llm-guard: Archived. 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 llm-guard and AI-Infra-Guard?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: llm-guard trust report; AI-Infra-Guard trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.