Apakah Llamagate Aman?

Llamagate — Nerq Trust Score 58.0/100 (Nilai D). Skor berdasarkan 5 independent trust signals.

Llamagate adalah software tool dengan Skor Kepercayaan Nerq sebesar 58.0/100 (D), based on 5 dimensi data independen. Keamanan: 0/100. Pemeliharaan: 1/100. Popularitas: 0/100. Data bersumber dari berbagai sumber publik termasuk registri paket, GitHub, NVD, OSV.dev, dan OpenSSF Scorecard. Terakhir diperbarui: n/a. Data yang dapat dibaca mesin (JSON).

Apakah Llamagate Aman?

Rincian Skor Kepercayaan — Llamagate has a Nerq Trust Score of 58.0/100 (D). Measured across 5 independent trust signals.

Analisis Keamanan → Laporan Privasi Llamagate →

Berapa skor kepercayaan Llamagate?

Llamagate memiliki Skor Kepercayaan Nerq 58.0/100 dengan nilai D. Skor ini didasarkan pada 5 dimensi yang diukur secara independen.

Keamanan
0
Kepatuhan
100
Pemeliharaan
1
Dokumentasi
1
Popularitas
0

Apa temuan keamanan utama untuk Llamagate?

Sinyal terkuat Llamagate adalah kepatuhan pada 100/100. Tidak ada kerentanan yang diketahui terdeteksi.

⚠Skor keamanan: 0/100 (lemah)
⚠Pemeliharaan: 1/100 — aktivitas pemeliharaan rendah
⚠Kepatuhan: 100/100 — covers 52 of 52 jurisdictions
⚠Dokumentasi: 1/100 — dokumentasi terbatas
⚠Popularitas: 0/100 — 1 bintang di github

Apa itu Llamagate dan siapa yang mengelolanya?

Pembuatsmcdaniel54
KategoriInfrastructure
Bintang1
Sumberhttps://github.com/smcdaniel54/LlamaGate
Frameworksopenai · ollama
Protocolsmcp · rest

Kepatuhan Regulasi

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

Alternatif Populer di infrastructure

n8n-io/n8n
69.1/100 · C
github
langflow-ai/langflow
77.0/100 · B
github
langgenius/dify
69.7/100 · C
github
open-webui/open-webui
60.4/100 · C
github
google-gemini/gemini-cli
56.2/100 · D
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: 58/100 (D).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including keamanan vulnerabilities, pemeliharaan activity, license kepatuhan, and adopsi komunitas.

How Nerq Assesses Llamagate's Safety

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

The overall Trust Score of 58.0/100 (D) is the weighted combination of these measured signals. It is a measurement, not a pass/fail or suitability judgment — weigh the individual signals against your own requirements.

Who Typically Evaluates Llamagate?

Llamagate is commonly evaluated by:

How to read the signals: Llamagate's measured signals (keamanan 0/100, pemeliharaan 1/100, dokumentasi 1/100, community 0/100) are shown above. These are measurements, not a suitability judgment — weigh each signal against the requirements of your own use case and risk tolerance.

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 — Tinjau repository's keamanan policy, open issues, and recent commits for signs of active pemeliharaan.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Llamagate's dependency tree.
  3. Ulasan 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. Tinjau 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 keamanan 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. Tinjau tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency keamanan

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

Update frequency

Regularly check for updates to Llamagate. Keamanan 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 kepatuhan

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 kepatuhan assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal kepatuhan.

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 kepatuhan with your keamanan policies.

Keep dependencies updated

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

Follow least privilege

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

Monitor for keamanan advisories

Subscribe to Llamagate's keamanan 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.

Situations That Warrant Independent Review of Llamagate

Nerq's signals are one input. In the following situations, evaluate Llamagate's measured signals against your own requirements before making a decision:

For each situation, compare Llamagate's measured trust score of 58.0/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Llamagate is suitable for any particular use.

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 58.0/100 is near the category average of 62/100.

This places Llamagate in line with the typical infrastructure tool tool. It meets baseline expectations but does not distinguish itself from peers on trust metrics.

Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks sedang 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 pemeliharaan 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 keamanan and quality. Conversely, a downward trend may signal reduced pemeliharaan, 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 — keamanan, pemeliharaan, dokumentasi, kepatuhan, and community — has evolved independently, providing granular visibility into which aspects of Llamagate are strengthening or weakening over time.

Llamagate vs Alternatif

In the infrastructure category, Llamagate scores 58.0/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Kesimpulan Utama

Pertanyaan yang Sering Diajukan

Apakah Llamagate Aman?
LlamaGate dengan Skor Kepercayaan Nerq sebesar 58.0/100 (D). Sinyal terkuat: kepatuhan (100/100). Skor berdasarkan Keamanan (0/100), Pemeliharaan (1/100), Popularitas (0/100), Dokumentasi (1/100).
Berapa skor kepercayaan Llamagate?
LlamaGate: 58.0/100 (D). Skor berdasarkan Keamanan (0/100), Pemeliharaan (1/100), Popularitas (0/100), Dokumentasi (1/100). Compliance: 100/100. Skor diperbarui saat data baru tersedia. API: GET nerq.ai/v1/preflight?target=LlamaGate
Apa alternatif yang lebih aman dari Llamagate?
Dalam kategori Infrastructure, higher-rated alternatives include n8n-io/n8n (69/100), langflow-ai/langflow (77/100), langgenius/dify (70/100). LlamaGate scores 58.0/100.
Seberapa sering skor keamanan Llamagate diperbarui?
Nerq recomputes Llamagate's trust score as new data becomes available. Current: 58.0/100 (D). API: GET nerq.ai/v1/preflight?target=LlamaGate
Bisakah saya menggunakan Llamagate di lingkungan yang diatur?
Llamagate: 58.0/100 (D). Compliance: 52 of 52 jurisdictions. EU AI Act compliant. Evaluate against your own regulatory requirements.
API: /v1/preflight Trust Badge API Docs

Lihat juga

Disclaimer: Skor kepercayaan Nerq adalah penilaian otomatis berdasarkan sinyal yang tersedia secara publik. Ini bukan rekomendasi atau jaminan. Selalu lakukan verifikasi mandiri Anda sendiri.

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