Comparison
FuzzyAI vs AI-Infra-Guard
Verdict
Pick FuzzyAI if fuzzyAI is an automated tool from cyberark for detecting and mitigating jailbreaks in LLM APIs using fuzzing techniques; 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 · FuzzyAI alternatives · AI-Infra-Guard alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | FuzzyAI | AI-Infra-Guard |
|---|---|---|
| Maintenance | Slowing (171d since push) As of 3w · github_public_v1 | Very active (0d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · 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
- FuzzyAI
- A tool for automated LLM fuzzing to detect and mitigate jailbreaks
- AI-Infra-Guard
- A full-stack AI Red Teaming platform securing AI ecosystems
Stars
- FuzzyAI
- 1.5k
- AI-Infra-Guard
- 4.3k
Forks
- FuzzyAI
- 214
- AI-Infra-Guard
- 419
Open issues
- FuzzyAI
- 6
- AI-Infra-Guard
- 13
Language
- FuzzyAI
- Jupyter Notebook
- AI-Infra-Guard
- Python
Adopt for
- FuzzyAI
- FuzzyAI is an automated tool from cyberark for detecting and mitigating jailbreaks in LLM APIs using fuzzing techniques.
- AI-Infra-Guard
- AI-Infra-Guard is designed for organizations looking to secure their AI infrastructures comprehensively through various scanning and evaluation tools.
Persona
- FuzzyAI
- -
- AI-Infra-Guard
- -
Runtime
- FuzzyAI
- -
- AI-Infra-Guard
- -
License
- FuzzyAI
- Apache-2.0
- AI-Infra-Guard
- Apache-2.0
Last pushed
- FuzzyAI
- Feb 6, 2026
- AI-Infra-Guard
- Jul 28, 2026
Categories
- FuzzyAI
- Evaluation & Observability
- AI-Infra-Guard
- Evaluation & Observability, LLM Frameworks
Trust and health
Maintenance
- FuzzyAI
- Slowing (36%)
- AI-Infra-Guard
- Very active (96%)
Days since push
- FuzzyAI
- 171d
- AI-Infra-Guard
- 0d
Open issues (now)
- FuzzyAI
- 6
- AI-Infra-Guard
- 13
Full report
- FuzzyAI
- Trust report
- AI-Infra-Guard
- Trust report
Shared compatibility
- Python · FuzzyAI: Python runtime · AI-Infra-Guard: Python runtime
Choose FuzzyAI if…
- FuzzyAI is primarily Jupyter Notebook; AI-Infra-Guard is Python.
- Tags unique to FuzzyAI: ai, ai-red-team, fuzzing, jailbreak.
- When you need to identify vulnerabilities specifically within the API layer of your large language models (LLMs).
When NOT to use FuzzyAI
- For general application or code-level vulnerability scanning, as it is specialized for LLM APIs.
- In scenarios where manual penetration testing of applications outside the scope of LLMs is required.
Choose AI-Infra-Guard if…
- AI-Infra-Guard is primarily Python; FuzzyAI is Jupyter Notebook.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (cyberark/FuzzyAI) · observed Jul 28, 2026
- GitHub forks (cyberark/FuzzyAI) · observed Jul 28, 2026
- Last push (cyberark/FuzzyAI) · observed Feb 6, 2026
- License file (Apache-2.0) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Tencent/AI-Infra-Guard) · observed Jul 28, 2026
- GitHub forks (Tencent/AI-Infra-Guard) · observed Jul 28, 2026
- Last push (Tencent/AI-Infra-Guard) · observed Jul 28, 2026
- License file (Apache-2.0) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: FuzzyAI 1.5k · AI-Infra-Guard 4.3k (synced Jul 28, 2026).
Common questions
- What is the difference between FuzzyAI and AI-Infra-Guard?
- FuzzyAI: A tool for automated LLM fuzzing to detect and mitigate jailbreaks. 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 FuzzyAI over AI-Infra-Guard?
- Choose FuzzyAI over AI-Infra-Guard when FuzzyAI is primarily Jupyter Notebook; AI-Infra-Guard is Python; Tags unique to FuzzyAI: ai, ai-red-team, fuzzing, jailbreak; When you need to identify vulnerabilities specifically within the API layer of your large language models (LLMs).
- When should I choose AI-Infra-Guard over FuzzyAI?
- Choose AI-Infra-Guard over FuzzyAI when AI-Infra-Guard is primarily Python; FuzzyAI is Jupyter Notebook; 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 avoid FuzzyAI?
- For general application or code-level vulnerability scanning, as it is specialized for LLM APIs. In scenarios where manual penetration testing of applications outside the scope of LLMs is required.
- 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 FuzzyAI or AI-Infra-Guard more popular on GitHub?
- AI-Infra-Guard has more GitHub stars (4,316 vs 1,543). Stars measure visibility, not whether either tool fits your constraints.
- Are FuzzyAI and AI-Infra-Guard open source?
- Yes - both are open-source projects on GitHub (FuzzyAI: Apache-2.0, AI-Infra-Guard: Apache-2.0).
- Where can I find alternatives to FuzzyAI or AI-Infra-Guard?
- GraphCanon lists graph-backed alternatives at FuzzyAI alternatives and AI-Infra-Guard alternatives (FuzzyAI 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, FuzzyAI or AI-Infra-Guard?
- FuzzyAI: 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 FuzzyAI and AI-Infra-Guard?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FuzzyAI trust report; AI-Infra-Guard trust report.