Czy Paragraf jest bezpieczny?

Paragraf — Nerq Trust Score 65.8/100 (Ocena C). Wynik oparty na 5 independent trust signals.

Paragraf to software tool z wynikiem zaufania Nerq 65.8/100 (C), based on 5 niezależnych wymiarów danych. Bezpieczeństwo: 0/100. Konserwacja: 1/100. Popularność: 0/100. Dane pochodzą z wiele źródeł publicznych, w tym rejestry pakietów, GitHub, NVD, OSV.dev i OpenSSF Scorecard. Ostatnia aktualizacja: n/a. Dane odczytywalne maszynowo (JSON).

Czy Paragraf jest bezpieczny?

Szczegóły wyniku zaufania — Paragraf has a Nerq Trust Score of 65.8/100 (C). Measured across 5 independent trust signals.

Analiza bezpieczeństwa → Raport prywatności Paragraf →

Jaki jest wynik zaufania Paragraf?

Paragraf ma Nerq Trust Score 65.8/100 z oceną C. Ten wynik opiera się na 5 niezależnie mierzonych wymiarach, w tym bezpieczeństwie, konserwacji i adopcji społeczności.

Bezpieczeństwo
0
Zgodność
96
Konserwacja
1
Dokumentacja
1
Popularność
0

Jakie są kluczowe ustalenia bezpieczeństwa dla Paragraf?

Najsilniejszy sygnał Paragraf to zgodność na poziomie 96/100. Nie wykryto znanych luk w zabezpieczeniach.

⚠Ocena bezpieczeństwa: 0/100 (słaby)
⚠Konserwacja: 1/100 — niska aktywność konserwacji
⚠Zgodność: 96/100 — covers 49 of 52 jurisdictions
⚠Dokumentacja: 1/100 — ograniczona dokumentacja
⚠Popularność: 0/100 — 1 gwiazdek na github

Czym jest Paragraf i kto go utrzymuje?

Autorkhjohns
KategoriaLegal
Gwiazdki1
Źródłohttps://github.com/khjohns/paragraf
Frameworksanthropic · mcp
Protocolsmcp · rest

Zgodność z przepisami

EU AI Act Risk ClassMINIMAL
Compliance Score96/100
JurisdictionsAssessed across 52 jurisdictions

Popularne alternatywy w legal

Deodat-Lawson/PDR_AI_v2
60.4/100 · C
github
Ramseygithub/ai-legal-zgodność-assistant
55.5/100 · D
github
lawglance/lawglance
57.5/100 · D
github
llSourcell/InstantLegalDotAI
58.5/100 · D
github
law-LLM
59.2/100 · D
huggingface_search_ext

What Is Paragraf?

Paragraf is a software tool in the legal category: MCP server for Norwegian law lookup and AI-assisted legal research.. It has 1 GitHub stars. Nerq Trust Score: 66/100 (C).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including bezpieczeństwo vulnerabilities, konserwacja activity, license zgodność, and przyjęcie przez społeczność.

How Nerq Assesses Paragraf's Safety

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

The overall Trust Score of 65.8/100 (C) 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 Paragraf?

Paragraf is commonly evaluated by:

How to read the signals: Paragraf's measured signals (bezpieczeństwo 0/100, konserwacja 1/100, dokumentacja 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 Paragraf's Safety Yourself

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

  1. Check the source code — Sprawdź repository's bezpieczeństwo policy, open issues, and recent commits for signs of active konserwacja.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Paragraf's dependency tree.
  3. Opinia permissions — Understand what access Paragraf requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Paragraf 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=paragraf
  6. Sprawdź license — Confirm that Paragraf'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 bezpieczeństwo concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Paragraf

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

Data handling

Understand how Paragraf processes, stores, and transmits your data. Sprawdź tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency bezpieczeństwo

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

Update frequency

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

Third-party integrations

If Paragraf 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 zgodność

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

Paragraf and the EU AI Act

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

Best Practices for Using Paragraf Safely

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

Conduct regular audits

Periodically review how Paragraf is used in your workflow. Check for unexpected behavior, permissions drift, and zgodność with your bezpieczeństwo policies.

Keep dependencies updated

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

Follow least privilege

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

Monitor for bezpieczeństwo advisories

Subscribe to Paragraf's bezpieczeństwo 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 Paragraf is used within your organization, including data handling guidelines and acceptable use cases.

Situations That Warrant Independent Review of Paragraf

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

For each situation, compare Paragraf's measured trust score of 65.8/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Paragraf is suitable for any particular use.

How Paragraf Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among legal tools, the average Trust Score is 62/100. Paragraf's score of 65.8/100 is above the category average of 62/100.

This positions Paragraf favorably among legal tools. While it outperforms the average, there is still room for improvement in certain trust wymiarów.

Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks umiarkowany 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 Paragraf 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 konserwacja patterns change, Paragraf'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 bezpieczeństwo and quality. Conversely, a downward trend may signal reduced konserwacja, growing technical debt, or unresolved vulnerabilities. To track Paragraf's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=paragraf&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 — bezpieczeństwo, konserwacja, dokumentacja, zgodność, and community — has evolved independently, providing granular visibility into which aspects of Paragraf are strengthening or weakening over time.

Paragraf vs Alternatywy

In the legal category, Paragraf scores 65.8/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Kluczowe wnioski

Często zadawane pytania

Czy Paragraf jest bezpieczny?
paragraf z wynikiem zaufania Nerq 65.8/100 (C). Najsilniejszy sygnał: zgodność (96/100). Wynik oparty na Bezpieczeństwo (0/100), Konserwacja (1/100), Popularność (0/100), Dokumentacja (1/100).
Jaki jest wynik zaufania Paragraf?
paragraf: 65.8/100 (C). Wynik oparty na Bezpieczeństwo (0/100), Konserwacja (1/100), Popularność (0/100), Dokumentacja (1/100). Compliance: 96/100. Oceny aktualizują się, gdy pojawiają się nowe dane. API: GET nerq.ai/v1/preflight?target=paragraf
Jakie są bezpieczniejsze alternatywy dla Paragraf?
W kategorii Legal, higher-rated alternatives include Deodat-Lawson/PDR_AI_v2 (60/100), Ramseygithub/ai-legal-zgodność-assistant (56/100), lawglance/lawglance (58/100). paragraf scores 65.8/100.
Jak często aktualizowana jest ocena bezpieczeństwa Paragraf?
Nerq recomputes Paragraf's trust score as new data becomes available. Current: 65.8/100 (C). API: GET nerq.ai/v1/preflight?target=paragraf
Czy mogę używać Paragraf w środowisku regulowanym?
Paragraf: 65.8/100 (C). Compliance: 49 of 52 jurisdictions. EU AI Act compliant. Evaluate against your own regulatory requirements.
API: /v1/preflight Trust Badge API Docs

Zobacz także

Disclaimer: Wyniki zaufania Nerq to zautomatyzowane oceny oparte na publicznie dostępnych sygnałach. Nie stanowią rekomendacji ani gwarancji. Zawsze przeprowadzaj własną weryfikację.

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