Comparison
agentic_security vs AI-Infra-Guard
Verdict
Pick agentic_security if agentic Security is an agent-based framework for scanning vulnerabilities in large language models with a Python-based toolkit for robust security assessments via fuzz testing; 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 · agentic_security alternatives · AI-Infra-Guard alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | agentic_security | AI-Infra-Guard |
|---|---|---|
| Maintenance | Steady (35d since push) As of 3w · github_public_v1 | Very active (0d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal 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
- agentic_security
- Agentic LLM Vulnerability Scanner / AI red teaming kit
- AI-Infra-Guard
- A full-stack AI Red Teaming platform securing AI ecosystems
Stars
- agentic_security
- 1.9k
- AI-Infra-Guard
- 4.3k
Forks
- agentic_security
- 270
- AI-Infra-Guard
- 419
Open issues
- agentic_security
- 70
- AI-Infra-Guard
- 13
Language
- agentic_security
- Python
- AI-Infra-Guard
- Python
Adopt for
- agentic_security
- Agentic Security is an agent-based framework for scanning vulnerabilities in large language models with a Python-based toolkit for robust security assessments via fuzz testing.
- AI-Infra-Guard
- AI-Infra-Guard is designed for organizations looking to secure their AI infrastructures comprehensively through various scanning and evaluation tools.
Persona
- agentic_security
- -
- AI-Infra-Guard
- -
Runtime
- agentic_security
- -
- AI-Infra-Guard
- -
License
- agentic_security
- Apache-2.0 - Permissive license encouraging free use and modification under the condition of preserving notices.
- AI-Infra-Guard
- Apache-2.0
Last pushed
- agentic_security
- Jun 23, 2026
- AI-Infra-Guard
- Jul 28, 2026
Categories
- agentic_security
- Evaluation & Observability, LLM Frameworks
- AI-Infra-Guard
- Evaluation & Observability, LLM Frameworks
Trust and health
Maintenance
- agentic_security
- Steady (60%)
- AI-Infra-Guard
- Very active (96%)
Days since push
- agentic_security
- 35d
- AI-Infra-Guard
- 0d
Open issues (now)
- agentic_security
- 70
- AI-Infra-Guard
- 13
Owner type
- agentic_security
- User
- AI-Infra-Guard
- Organization
Full report
- agentic_security
- Trust report
- AI-Infra-Guard
- Trust report
Shared compatibility
- Python · agentic_security: Python runtime · AI-Infra-Guard: Python runtime
Choose agentic_security if…
- Tags unique to agentic_security: agent-framework, fuzzing, red-teaming, security-assessment.
- Developers need to ensure their LLMs are secure from jailbreak attempts and vulnerabilities.
When NOT to use agentic_security
- Teams require solutions that do not involve agent frameworks for vulnerability scanning.
- Projects seek a no-fuzz-testing approach for evaluating LLM security.
Choose AI-Infra-Guard if…
- Tags unique to AI-Infra-Guard: agent-security, ai-red-teaming, security-tools, skills-security.
- If you need advanced LLM jailbreak evaluation capabilities specific to the vulnerabilities identified by Tencent's research, consider using AI-Infra-Guard.
- More GitHub stars (4.3k vs 1.9k) - visibility, not fit.
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 (msoedov/agentic_security) · observed Jul 28, 2026
- GitHub forks (msoedov/agentic_security) · observed Jul 28, 2026
- Last push (msoedov/agentic_security) · observed Jun 23, 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: agentic_security 1.9k · AI-Infra-Guard 4.3k (synced Jul 28, 2026).
Common questions
- What is the difference between agentic_security and AI-Infra-Guard?
- agentic_security: Agentic LLM Vulnerability Scanner / AI red teaming kit. 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 agentic_security over AI-Infra-Guard?
- Choose agentic_security over AI-Infra-Guard when Tags unique to agentic_security: agent-framework, fuzzing, red-teaming, security-assessment; Developers need to ensure their LLMs are secure from jailbreak attempts and vulnerabilities.
- When should I choose AI-Infra-Guard over agentic_security?
- Choose AI-Infra-Guard over agentic_security when Tags unique to AI-Infra-Guard: agent-security, ai-red-teaming, security-tools, skills-security; If you need advanced LLM jailbreak evaluation capabilities specific to the vulnerabilities identified by Tencent's research, consider using AI-Infra-Guard; More GitHub stars (4.3k vs 1.9k) - visibility, not fit.
- When should I avoid agentic_security?
- Teams require solutions that do not involve agent frameworks for vulnerability scanning. Projects seek a no-fuzz-testing approach for evaluating LLM security.
- 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 agentic_security or AI-Infra-Guard more popular on GitHub?
- AI-Infra-Guard has more GitHub stars (4,316 vs 1,943). Stars measure visibility, not whether either tool fits your constraints.
- Are agentic_security and AI-Infra-Guard open source?
- Yes - both are open-source projects on GitHub (agentic_security: Apache-2.0, AI-Infra-Guard: Apache-2.0).
- Where can I find alternatives to agentic_security or AI-Infra-Guard?
- GraphCanon lists graph-backed alternatives at agentic_security alternatives and AI-Infra-Guard alternatives (agentic_security 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, agentic_security or AI-Infra-Guard?
- agentic_security: 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 agentic_security and AI-Infra-Guard?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentic_security trust report; AI-Infra-Guard trust report.