Comparison
AutoAudit vs AI-Infra-Guard
Verdict
Pick AutoAudit if autoAudit leverages LLMs specifically for cyber security tasks and supports custom fine-tuning through models such as GPT, LLAMA, LoRA, and QLORA; 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 · AutoAudit alternatives · AI-Infra-Guard alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | AutoAudit | AI-Infra-Guard |
|---|---|---|
| Maintenance | Dormant (511d since push) As of 1mo · github_public_v1 | Very active (0d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1mo · 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
- AutoAudit
- LLM for Cyber Security
- AI-Infra-Guard
- A full-stack AI Red Teaming platform securing AI ecosystems
Stars
- AutoAudit
- 355
- AI-Infra-Guard
- 4.3k
Forks
- AutoAudit
- 38
- AI-Infra-Guard
- 419
Open issues
- AutoAudit
- 4
- AI-Infra-Guard
- 13
Language
- AutoAudit
- HTML
- AI-Infra-Guard
- Python
Adopt for
- AutoAudit
- AutoAudit leverages LLMs specifically for cyber security tasks and supports custom fine-tuning through models such as GPT, LLAMA, LoRA, and QLORA.
- AI-Infra-Guard
- AI-Infra-Guard is designed for organizations looking to secure their AI infrastructures comprehensively through various scanning and evaluation tools.
Persona
- AutoAudit
- -
- AI-Infra-Guard
- -
Runtime
- AutoAudit
- -
- AI-Infra-Guard
- -
License
- AutoAudit
- MIT
- AI-Infra-Guard
- Apache-2.0
Last pushed
- AutoAudit
- Feb 28, 2025
- AI-Infra-Guard
- Jul 28, 2026
Categories
- AutoAudit
- Evaluation & Observability, Model Training
- AI-Infra-Guard
- Evaluation & Observability, LLM Frameworks
Trust and health
Maintenance
- AutoAudit
- Dormant (18%)
- AI-Infra-Guard
- Very active (96%)
Days since push
- AutoAudit
- 511d
- AI-Infra-Guard
- 0d
Open issues (now)
- AutoAudit
- 4
- AI-Infra-Guard
- 13
Owner type
- AutoAudit
- User
- AI-Infra-Guard
- Organization
Full report
- AutoAudit
- Trust report
- AI-Infra-Guard
- Trust report
Choose AutoAudit if…
- AutoAudit is primarily HTML; AI-Infra-Guard is Python.
- License: AutoAudit is MIT, AI-Infra-Guard is Apache-2.0.
- Tags unique to AutoAudit: cyber-security, fine-tuning, gpt, llama.
- Also covers Model Training.
- When your project requires a language model focused on cyber security applications rather than general content generation.
When NOT to use AutoAudit
- For projects needing broad, general-purpose text generation that does not require cyber security expertise embedded in the model.
- In scenarios where proprietary data privacy is a concern, given AutoAudit's nature as an LLM for cyber security may imply certain data processing policies could be less flexible.
Choose AI-Infra-Guard if…
- AI-Infra-Guard is primarily Python; AutoAudit is HTML.
- License: AI-Infra-Guard is Apache-2.0, AutoAudit 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 (ddzipp/AutoAudit) · observed Jul 25, 2026
- GitHub forks (ddzipp/AutoAudit) · observed Jul 25, 2026
- Last push (ddzipp/AutoAudit) · observed Feb 28, 2025
- License file (MIT) · observed Jul 25, 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: AutoAudit 355 · AI-Infra-Guard 4.3k (synced Jul 25, 2026).
Common questions
- What is the difference between AutoAudit and AI-Infra-Guard?
- AutoAudit: LLM for Cyber 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 AutoAudit over AI-Infra-Guard?
- Choose AutoAudit over AI-Infra-Guard when AutoAudit is primarily HTML; AI-Infra-Guard is Python; License: AutoAudit is MIT, AI-Infra-Guard is Apache-2.0; Tags unique to AutoAudit: cyber-security, fine-tuning, gpt, llama; Also covers Model Training; When your project requires a language model focused on cyber security applications rather than general content generation.
- When should I choose AI-Infra-Guard over AutoAudit?
- Choose AI-Infra-Guard over AutoAudit when AI-Infra-Guard is primarily Python; AutoAudit is HTML; License: AI-Infra-Guard is Apache-2.0, AutoAudit 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 AutoAudit?
- For projects needing broad, general-purpose text generation that does not require cyber security expertise embedded in the model. In scenarios where proprietary data privacy is a concern, given AutoAudit's nature as an LLM for cyber security may imply certain data processing policies could be less flexible.
- 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 AutoAudit or AI-Infra-Guard more popular on GitHub?
- AI-Infra-Guard has more GitHub stars (4,316 vs 355). Stars measure visibility, not whether either tool fits your constraints.
- Are AutoAudit and AI-Infra-Guard open source?
- Yes - both are open-source projects on GitHub (AutoAudit: MIT, AI-Infra-Guard: Apache-2.0).
- Where can I find alternatives to AutoAudit or AI-Infra-Guard?
- GraphCanon lists graph-backed alternatives at AutoAudit alternatives and AI-Infra-Guard alternatives (AutoAudit 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, AutoAudit or AI-Infra-Guard?
- AutoAudit: Dormant. 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 AutoAudit and AI-Infra-Guard?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AutoAudit trust report; AI-Infra-Guard trust report.