Comparison
ps-fuzz vs AI-Infra-Guard
Verdict
Pick ps-fuzz when license: ps-fuzz is MIT, AI-Infra-Guard is Apache-2.0; pick AI-Infra-Guard when license: AI-Infra-Guard is Apache-2.0, ps-fuzz is MIT.
Markdown twin · ps-fuzz alternatives · AI-Infra-Guard alternatives
GraphCanon updated Oct 6, 2026
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Trust & integrity
| Signal | ps-fuzz | AI-Infra-Guard |
|---|---|---|
| Maintenance | Steady (47d 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
- ps-fuzz
- Test and harden system prompts for GenAI apps to ensure safety and security.
- AI-Infra-Guard
- A full-stack AI Red Teaming platform securing AI ecosystems
Stars
- ps-fuzz
- 715
- AI-Infra-Guard
- 6.5k
Forks
- ps-fuzz
- 104
- AI-Infra-Guard
- 599
Open issues
- ps-fuzz
- 20
- AI-Infra-Guard
- 32
Language
- ps-fuzz
- Python
- AI-Infra-Guard
- Python
Adopt for
- ps-fuzz
- -
- AI-Infra-Guard
- AI-Infra-Guard is designed for organizations looking to secure their AI infrastructures comprehensively through various scanning and evaluation tools.
Persona
- ps-fuzz
- -
- AI-Infra-Guard
- -
Runtime
- ps-fuzz
- -
- AI-Infra-Guard
- -
License
- ps-fuzz
- MIT
- AI-Infra-Guard
- Apache-2.0
Last pushed
- ps-fuzz
- Aug 19, 2026
- AI-Infra-Guard
- Sep 20, 2026
Categories
- ps-fuzz
- Developer Tools, Evaluation & Observability
- AI-Infra-Guard
- Evaluation & Observability, LLM Frameworks
Trust and health
Maintenance
- ps-fuzz
- Steady (60%)
- AI-Infra-Guard
- Very active (96%)
Days since push
- ps-fuzz
- 47d
- AI-Infra-Guard
- 0d
Open issues (now)
- ps-fuzz
- 20
- AI-Infra-Guard
- 32
Stars delta
- ps-fuzz
- +8 (30d)
- AI-Infra-Guard
- +2.2k (30d)
Open issues delta
- ps-fuzz
- +1 (30d)
- AI-Infra-Guard
- +19 (30d)
Full report
- ps-fuzz
- Trust report
- AI-Infra-Guard
- Trust report
Shared compatibility
- Python · ps-fuzz: Python runtime · AI-Infra-Guard: Python runtime
Choose ps-fuzz if…
- License: ps-fuzz is MIT, AI-Infra-Guard is Apache-2.0.
- Tags unique to ps-fuzz: ai-fuzzer, fuzzer, generative-ai, llm-fuzzer.
- Also covers Developer Tools.
- When you need to methodically test system prompts in generative AI applications for potential security flaws.
When NOT to use ps-fuzz
- If your project does not involve generative AI applications or does not require prompt testing for security reasons.
- For tasks unrelated to the hardening and evaluation of system prompts, as ps-fuzz is specifically designed for this purpose.
Choose AI-Infra-Guard if…
- License: AI-Infra-Guard is Apache-2.0, ps-fuzz 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 (prompt-security/ps-fuzz) · observed Oct 6, 2026
- GitHub forks (prompt-security/ps-fuzz) · observed Oct 6, 2026
- Last push (prompt-security/ps-fuzz) · observed Aug 19, 2026
- License file (MIT) · observed Oct 6, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Tencent/AI-Infra-Guard) · observed Sep 20, 2026
- GitHub forks (Tencent/AI-Infra-Guard) · observed Sep 20, 2026
- Last push (Tencent/AI-Infra-Guard) · observed Sep 20, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ps-fuzz 715 · AI-Infra-Guard 6.5k (synced Oct 6, 2026).
Common questions
- What is the difference between ps-fuzz and AI-Infra-Guard?
- ps-fuzz: Test and harden system prompts for GenAI apps to ensure safety and 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 ps-fuzz over AI-Infra-Guard?
- Choose ps-fuzz over AI-Infra-Guard when License: ps-fuzz is MIT, AI-Infra-Guard is Apache-2.0; Tags unique to ps-fuzz: ai-fuzzer, fuzzer, generative-ai, llm-fuzzer; Also covers Developer Tools; When you need to methodically test system prompts in generative AI applications for potential security flaws.
- When should I choose AI-Infra-Guard over ps-fuzz?
- Choose AI-Infra-Guard over ps-fuzz when License: AI-Infra-Guard is Apache-2.0, ps-fuzz 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 ps-fuzz?
- If your project does not involve generative AI applications or does not require prompt testing for security reasons. For tasks unrelated to the hardening and evaluation of system prompts, as ps-fuzz is specifically designed for this purpose.
- 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 ps-fuzz or AI-Infra-Guard more popular on GitHub?
- AI-Infra-Guard has more GitHub stars (6,471 vs 715). Stars measure visibility, not whether either tool fits your constraints.
- Are ps-fuzz and AI-Infra-Guard open source?
- Yes - both are open-source projects on GitHub (ps-fuzz: MIT, AI-Infra-Guard: Apache-2.0).
- Where can I find alternatives to ps-fuzz or AI-Infra-Guard?
- GraphCanon lists graph-backed alternatives at ps-fuzz alternatives and AI-Infra-Guard alternatives (ps-fuzz 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, ps-fuzz or AI-Infra-Guard?
- ps-fuzz: Steady. 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 ps-fuzz and AI-Infra-Guard?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ps-fuzz trust report; AI-Infra-Guard trust report.