Llamagate은(는) 안전한가요?

Llamagate — Nerq Trust Score 67.0/100 (C 등급). 5개의 신뢰 차원 분석 결과, 대체로 안전하지만 일부 우려 사항이 있음으로 평가됩니다. 마지막 업데이트: 2026-04-07.

Llamagate을(를) 주의하며 사용하세요. Llamagate 은(는) software tool입니다 Nerq 신뢰 점수 67.0/100 (C), 5개의 독립적으로 측정된 데이터 차원 기반. Nerq 인증 기준 미달 보안: 0/100. 유지보수: 1/100. 인기도: 0/100. 패키지 레지스트리, GitHub, NVD, OSV.dev, OpenSSF Scorecard를 포함한 여러 공개 소스에서 수집된 데이터. 마지막 업데이트: 2026-04-07. 기계 판독 가능 데이터 (JSON).

Llamagate은(는) 안전한가요?

CAUTION — Llamagate has a Nerq Trust Score of 67.0/100 (C). 보통 수준의 신뢰 신호가 있지만 일부 우려 사항이 있습니다 that warrant attention. Suitable for development use — review 보안 and 유지보수 signals before production deployment.

보안 분석 → Llamagate 개인정보 보고서 →

Llamagate의 신뢰 점수는?

Llamagate의 Nerq 신뢰 점수는 67.0/100이며 C 등급입니다. 이 점수는 보안, 유지보수, 커뮤니티 채택을 포함한 5개의 독립적으로 측정된 차원을 기반으로 합니다.

보안
0
규정 준수
100
유지보수
1
문서화
1
인기도
0

Llamagate의 주요 보안 발견 사항은?

Llamagate의 가장 강한 신호는 규정 준수이며 100/100입니다. 알려진 취약점이 감지되지 않았습니다. 아직 Nerq 인증 임계값 70+에 도달하지 못했습니다.

보안 점수: 0/100 (약함)
유지보수: 1/100 — 낮은 유지관리 활동
규정 준수: 100/100 — covers 52 of 52 관할권s
문서화: 1/100 — 제한적 문서화
인기도: 0/100 — 1 스타 수: github

Llamagate은(는) 무엇이며 누가 관리하나요?

개발자smcdaniel54
카테고리인프라
스타1
출처https://github.com/smcdaniel54/LlamaGate
Frameworksopenai · ollama
Protocolsmcp · rest

규정 준수

EU AI Act Risk ClassMINIMAL
Compliance Score100/100
JurisdictionsAssessed across 52 관할권s

infrastructure의 인기 대안

n8n-io/n8n
78.5/100 · B
github
langflow-ai/langflow
87.6/100 · A
github
langgenius/dify
79.1/100 · B
github
open-webui/open-webui
74.8/100 · B
github
google-gemini/gemini-cli
71.8/100 · B
github

What Is Llamagate?

Llamagate is a software tool in the infrastructure category: LlamaGate is an OpenAI-compatible API gateway for local LLMs.. It has 1 GitHub stars. Nerq Trust Score: 67/100 (C).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including 보안 vulnerabilities, 유지보수 activity, license 규정 준수, and 커뮤니티 채택.

How Nerq Assesses Llamagate's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five 차원. Here is how Llamagate performs in each:

The overall Trust Score of 67.0/100 (C) reflects the weighted combination of these signals. This is below the Nerq Verified threshold of 70. We recommend additional due diligence before production deployment.

Who Should Use Llamagate?

Llamagate is designed for:

Risk guidance: Llamagate is suitable for development and testing environments. Before production deployment, conduct a thorough review of its 보안 posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.

How to Verify Llamagate's Safety Yourself

While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:

  1. Check the source code — 다음을 검토하세요: repository's 보안 policy, open issues, and recent commits for signs of active 유지보수.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Llamagate's dependency tree.
  3. 리뷰 permissions — Understand what access Llamagate requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Llamagate in a sandboxed environment before granting access to production data or systems.
  5. Monitor continuously — Use Nerq's API to set up automated trust checks: GET nerq.ai/v1/preflight?target=LlamaGate
  6. 다음을 검토하세요: license — Confirm that Llamagate's license is compatible with your intended use case. Pay attention to restrictions on commercial use, redistribution, and derivative works. Some AI tools use dual licensing or have separate terms for enterprise customers that differ from the open-source license.
  7. Check community signals — Look at the project's issue tracker, discussion forums, and social media presence. A healthy community actively reports bugs, contributes fixes, and discusses 보안 concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Llamagate

When evaluating whether Llamagate is safe, consider these category-specific risks:

Data handling

Understand how Llamagate processes, stores, and transmits your data. 다음을 검토하세요: tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency 보안

Check Llamagate's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher 보안 risk.

Update frequency

Regularly check for updates to Llamagate. 보안 patches and bug fixes are only effective if you're running the latest version.

Third-party integrations

If Llamagate connects to external APIs or services, each integration point is a potential attack surface. Audit all third-party connections, verify that data shared with external services is minimized, and ensure that integration credentials are rotated regularly.

License and IP 규정 준수

Verify that Llamagate's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Llamagate in violation of its license can expose your organization to legal liability.

Llamagate and the EU AI Act

Llamagate is classified as Minimal Risk under the EU AI Act. This is the lowest risk category, meaning it faces minimal regulatory requirements. However, transparency obligations still apply.

Nerq's 규정 준수 assessment covers 52 관할권s worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal 규정 준수.

Best Practices for Using Llamagate Safely

Whether you're an individual developer or an enterprise team, these practices will help you get the most from Llamagate while minimizing risk:

Conduct regular audits

Periodically review how Llamagate is used in your workflow. Check for unexpected behavior, permissions drift, and 규정 준수 with your 보안 policies.

Keep dependencies updated

Ensure Llamagate and all its dependencies are running the latest stable versions to benefit from 보안 patches.

Follow least privilege

Grant Llamagate only the minimum permissions it needs to function. Avoid granting admin or root access.

Monitor for 보안 advisories

Subscribe to Llamagate's 보안 advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.

Document usage policies

Create and maintain a clear policy for how Llamagate is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Llamagate?

Even promising tools aren't right for every situation. Consider avoiding Llamagate in these scenarios:

For each scenario, evaluate whether Llamagate's trust score of 67.0/100 meets your organization's risk tolerance. We recommend running a manual 보안 assessment alongside the automated Nerq score.

How Llamagate Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among infrastructure tools, the average Trust Score is 62/100. Llamagate's score of 67.0/100 is above the category average of 62/100.

This positions Llamagate favorably among infrastructure tools. While it outperforms the average, there is still room for improvement in certain trust 차원.

Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks 보통 in isolation may actually represent strong performance within a challenging category — or vice versa. Nerq's category-relative analysis helps teams make informed decisions by showing not just absolute quality, but how a tool ranks against its direct peers.

Trust Score History

Nerq continuously monitors Llamagate and recalculates its Trust Score as new data becomes available. Our scoring engine ingests real-time signals from source repositories, vulnerability databases (NVD, OSV.dev), package registries, and community metrics. When a new CVE is published, a major release ships, or 유지보수 patterns change, Llamagate's score is updated within 24 hours.

Historical trust trends reveal whether a tool is improving, stable, or declining over time. A tool that consistently maintains or improves its score demonstrates ongoing commitment to 보안 and quality. Conversely, a downward trend may signal reduced 유지보수, growing technical debt, or unresolved vulnerabilities. To track Llamagate's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=LlamaGate&include=history

Nerq retains trust score snapshots at regular intervals, enabling trend analysis across weeks and months. Enterprise users can access detailed historical reports showing how each dimension — 보안, 유지보수, 문서화, 규정 준수, and community — has evolved independently, providing granular visibility into which aspects of Llamagate are strengthening or weakening over time.

Llamagate vs 대안

In the infrastructure category, Llamagate scores 67.0/100. There are higher-scoring alternatives available. For a detailed comparison, see:

주요 요점

자주 묻는 질문

Llamagate은(는) 안전한가요?
주의하며 사용하세요. LlamaGate Nerq 신뢰 점수 67.0/100 (C). 가장 강력한 신호: 규정 준수 (100/100). 보안 (0/100), 유지보수 (1/100), 인기도 (0/100), 문서화 (1/100) 기반 점수.
Llamagate의 신뢰 점수는?
LlamaGate: 67.0/100 (C). 보안 (0/100), 유지보수 (1/100), 인기도 (0/100), 문서화 (1/100) 기반 점수. Compliance: 100/100. 새로운 데이터가 제공되면 점수가 업데이트됩니다. API: GET nerq.ai/v1/preflight?target=LlamaGate
Llamagate의 더 안전한 대안은?
인프라 카테고리에서, higher-rated alternatives include n8n-io/n8n (78/100), langflow-ai/langflow (88/100), langgenius/dify (79/100). LlamaGate scores 67.0/100.
Llamagate의 보안 점수는 얼마나 자주 업데이트되나요?
Nerq continuously monitors Llamagate and updates its trust score as new data becomes available. Current: 67.0/100 (C), last 인증됨 2026-04-07. API: GET nerq.ai/v1/preflight?target=LlamaGate
규제 환경에서 Llamagate을 사용할 수 있나요?
Llamagate은 Nerq 인증 임계값 70에 도달하지 못했습니다. 추가 검토가 권장됩니다.
API: /v1/preflight Trust Badge API Docs

참고 항목

Disclaimer: Nerq 신뢰 점수는 공개적으로 사용 가능한 신호를 기반으로 한 자동 평가입니다. 추천이나 보증이 아닙니다. 항상 직접 확인하세요.

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