Home/Compare/AI-Infra-Guard vs circle-guard-bench

Comparison

AI-Infra-Guard vs circle-guard-bench

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 circle-guard-bench if circle-guard-bench is a Python-based AI benchmark tool for evaluating large language model guard systems under various protection scenarios.

Markdown twin · AI-Infra-Guard alternatives · circle-guard-bench alternatives

GraphCanon updated Sep 20, 2026

16views this month

AI-Infra-Guard logo

AI-Infra-Guard

Tencent/AI-Infra-Guard

6.5kpushed Sep 20, 2026
vs
circle-guard-bench logo

circle-guard-bench

whitecircle/circle-guard-bench

75pushed Mar 7, 2026

Trust & integrity

SignalAI-Infra-Guardcircle-guard-bench
Maintenance
Very active (0d since push)
As of Sep 20, 2026 · github_public_v1
Slowing (185d since push)
As of Sep 9, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 20, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 9, 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 15, 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

AI-Infra-Guard
A full-stack AI Red Teaming platform securing AI ecosystems
circle-guard-bench
AI benchmark for evaluating LLM guard systems

Stars

AI-Infra-Guard
6.5k
circle-guard-bench
75

Forks

AI-Infra-Guard
599
circle-guard-bench
5

Open issues

AI-Infra-Guard
32
circle-guard-bench
1

Language

AI-Infra-Guard
Python
circle-guard-bench
Python

Adopt for

AI-Infra-Guard
AI-Infra-Guard is designed for organizations looking to secure their AI infrastructures comprehensively through various scanning and evaluation tools.
circle-guard-bench
circle-guard-bench is a Python-based AI benchmark tool for evaluating large language model guard systems under various protection scenarios.

Persona

AI-Infra-Guard
-
circle-guard-bench
-

Runtime

AI-Infra-Guard
-
circle-guard-bench
-

License

AI-Infra-Guard
Apache-2.0
circle-guard-bench
Apache-2.0

Last pushed

AI-Infra-Guard
Sep 20, 2026
circle-guard-bench
Mar 7, 2026

Categories

AI-Infra-Guard
Evaluation & Observability, LLM Frameworks
circle-guard-bench
Evaluation & Observability

Trust and health

Maintenance

AI-Infra-Guard
Very active (96%)
circle-guard-bench
Slowing (36%)

Days since push

AI-Infra-Guard
0d
circle-guard-bench
185d

Open issues (now)

AI-Infra-Guard
32
circle-guard-bench
1

Stars delta

AI-Infra-Guard
+2.2k (30d)
circle-guard-bench
+3 (30d)

Open issues delta

AI-Infra-Guard
+19 (30d)
circle-guard-bench
+1 (30d)

Full report

AI-Infra-Guard
Trust report
circle-guard-bench
Trust report

Shared compatibility

  • Python · AI-Infra-Guard: Python runtime · circle-guard-bench: Python runtime

Choose AI-Infra-Guard if…

  • Tags unique to AI-Infra-Guard: agent-security, ai-red-teaming, security-tools, 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.

Choose circle-guard-bench if…

  • Tags unique to circle-guard-bench: ai, benchmarking, guardrail, large-language-models.
  • Use circle-guard-bench when you need to evaluate the effectiveness of guardrails and safeguards in your LLM environment, as it offers an unparalleled set of scenarios specific to these protections.
  • Leaner open-issue backlog (1).

When NOT to use circle-guard-bench

  • Avoid circle-guard-bench if your primary focus is on benchmarking the performance aspects like speed and latency of LLMs, as it specializes in evaluating protections rather than performance.
  • Do not use this tool when you intend to conduct general purpose evaluations or comparisons between different LLM models that do not specifically involve security-related guard systems.

Explore

Sources

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

GitHub stars on cards: AI-Infra-Guard 6.5k · circle-guard-bench 75 (synced Sep 20, 2026).

Common questions

What is the difference between AI-Infra-Guard and circle-guard-bench?
AI-Infra-Guard: A full-stack AI Red Teaming platform securing AI ecosystems. circle-guard-bench: AI benchmark for evaluating LLM guard systems. See the comparison table for live GitHub stats and shared categories.
When should I choose AI-Infra-Guard over circle-guard-bench?
Choose AI-Infra-Guard over circle-guard-bench when Tags unique to AI-Infra-Guard: agent-security, ai-red-teaming, security-tools, 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 choose circle-guard-bench over AI-Infra-Guard?
Choose circle-guard-bench over AI-Infra-Guard when Tags unique to circle-guard-bench: ai, benchmarking, guardrail, large-language-models; Use circle-guard-bench when you need to evaluate the effectiveness of guardrails and safeguards in your LLM environment, as it offers an unparalleled set of scenarios specific to these protections; Leaner open-issue backlog (1).
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 circle-guard-bench?
Avoid circle-guard-bench if your primary focus is on benchmarking the performance aspects like speed and latency of LLMs, as it specializes in evaluating protections rather than performance. Do not use this tool when you intend to conduct general purpose evaluations or comparisons between different LLM models that do not specifically involve security-related guard systems.
Is AI-Infra-Guard or circle-guard-bench more popular on GitHub?
AI-Infra-Guard has more GitHub stars (6,471 vs 75). Stars measure visibility, not whether either tool fits your constraints.
Are AI-Infra-Guard and circle-guard-bench open source?
Yes - both are open-source projects on GitHub (AI-Infra-Guard: Apache-2.0, circle-guard-bench: Apache-2.0).
Where can I find alternatives to AI-Infra-Guard or circle-guard-bench?
GraphCanon lists graph-backed alternatives at AI-Infra-Guard alternatives and circle-guard-bench alternatives (AI-Infra-Guard markdown twin, circle-guard-bench 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, AI-Infra-Guard or circle-guard-bench?
AI-Infra-Guard: Very active. circle-guard-bench: Slowing. 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 circle-guard-bench?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AI-Infra-Guard trust report; circle-guard-bench trust report.

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