Ai Roundtable est-il sûr ?
Ai Roundtable — Nerq Trust Score 72.4/100 (Note B). Sur la base de l'analyse de 5 dimensions de confiance, il est généralement sûr mais avec quelques préoccupations. Dernière mise à jour : 2026-04-24.
Oui, Ai Roundtable est sûr à utiliser. Ai Roundtable est un software tool avec un Nerq Trust Score de 72.4/100 (B), basé sur 5 dimensions de données indépendantes. Recommandé pour utilisation. Sécurité: 0/100. Maintenance: 1/100. Popularité: 0/100. Données de plusieurs sources publiques dont les registres de paquets, GitHub, NVD, OSV.dev et OpenSSF Scorecard. Dernière mise à jour: 2026-04-24. Données lisibles par machine (JSON).
Ai Roundtable est-il sûr ?
YES — Ai Roundtable has a Nerq Trust Score of 72.4/100 (B). Il dépasse le seuil de confiance Nerq avec des signaux forts en sécurité, maintenance et adoption communautaire. Recommandé pour utilisation — consultez le rapport complet ci-dessous pour des considérations spécifiques.
Quel est le score de confiance de Ai Roundtable ?
Ai Roundtable a un Score de Confiance Nerq de 72.4/100, obtenant la note B. Ce score est basé sur 5 dimensions mesurées indépendamment.
Quels sont les résultats de sécurité clés pour Ai Roundtable ?
Le signal le plus fort de Ai Roundtable est conformité à 100/100. Aucune vulnérabilité connue n'a été détectée. Atteint le seuil vérifié Nerq de 70+.
Qu'est-ce que Ai Roundtable et qui le maintient ?
| Auteur | anescaper |
| Catégorie | Design |
| Source | https://github.com/anescaper/ai-roundtable |
| Frameworks | anthropic |
| Protocols | rest · websocket |
Conformité réglementaire
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Alternatives populaires dans design
What Is Ai Roundtable?
Ai Roundtable is a software tool in the design category: Multi-agent AI debate system for software design decisions.. Nerq Trust Score: 72/100 (B).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including sécurité vulnerabilities, maintenance activity, license conformité, and adoption par la communauté.
How Nerq Assesses Ai Roundtable's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Ai Roundtable performs in each:
- Sécurité (0/100): Ai Roundtable's sécurité posture is poor. This score factors in known CVEs, dependency vulnerabilities, sécurité policy presence, and code signing practices.
- Maintenance (1/100): Ai Roundtable is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (1/100): Documentation quality is insufficient. This includes README completeness, API documentation, usage examples, and contribution guidelines.
- Compliance (100/100): Ai Roundtable is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Basé sur GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 72.4/100 (B) reflects the weighted combination of these signals. This exceeds the Nerq Verified threshold of 70, indicating the tool meets our standards for production use.
Who Should Use Ai Roundtable?
Ai Roundtable is designed for:
- Designers using AI to accelerate visual content creation
- Creative teams generating concept art and prototypes
- Developers building applications with AI-powered image generation
- Content creators producing visual media for digital platforms
Risk guidance: Ai Roundtable meets the minimum threshold for production use, but we recommend monitoring for sécurité advisories and keeping dependencies up to date. Consider implementing additional guardrails for sensitive workloads.
How to Verify Ai Roundtable's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Examiner le/la repository's sécurité policy, open issues, and recent commits for signs of active maintenance.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Ai Roundtable's dependency tree. - Avis permissions — Understand what access Ai Roundtable requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Ai Roundtable in a sandboxed environment before granting access to production data or systems.
- Monitor continuously — Use Nerq's API to set up automated trust checks:
GET nerq.ai/v1/preflight?target=ai-roundtable - Examiner le/la license — Confirm that Ai Roundtable'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.
- 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 sécurité concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Ai Roundtable
When evaluating whether Ai Roundtable is safe, consider these category-specific risks:
Understand how Ai Roundtable processes, stores, and transmits your data. Examiner le/la tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Ai Roundtable's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher sécurité risk.
Regularly check for updates to Ai Roundtable. Sécurité patches and bug fixes are only effective if you're running the latest version.
If Ai Roundtable 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.
Verify that Ai Roundtable's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Ai Roundtable in violation of its license can expose your organization to legal liability.
Ai Roundtable and the EU AI Act
Ai Roundtable 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 conformité assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal conformité.
Best Practices for Using Ai Roundtable Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Ai Roundtable while minimizing risk:
Periodically review how Ai Roundtable is used in your workflow. Check for unexpected behavior, permissions drift, and conformité with your sécurité policies.
Ensure Ai Roundtable and all its dependencies are running the latest stable versions to benefit from sécurité patches.
Grant Ai Roundtable only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Ai Roundtable's sécurité advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Ai Roundtable is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Ai Roundtable?
Even well-trusted tools aren't right for every situation. Consider avoiding Ai Roundtable in these scenarios:
- Scenarios where Ai Roundtable's specific capabilities exceed your actual needs — simpler tools may be safer
- Air-gapped environments where the tool cannot receive sécurité updates
- Projects with strict regulatory requirements that haven't been explicitly validated
For each scenario, evaluate whether Ai Roundtable's trust score of 72.4/100 meets your organization's risk tolerance. The Nerq Verified status indicates general production readiness, but sector-specific requirements may apply.
How Ai Roundtable Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among design tools, the average Trust Score is 62/100. Ai Roundtable's score of 72.4/100 is significantly above the category average of 62/100.
This places Ai Roundtable in the top tier of design tools that Nerq tracks. Tools scoring this far above average typically demonstrate mature sécurité practices, consistent release cadence, and broad adoption par la communauté.
Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks modéré 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 Ai Roundtable 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 maintenance patterns change, Ai Roundtable'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 sécurité and quality. Conversely, a downward trend may signal reduced maintenance, growing technical debt, or unresolved vulnerabilities. To track Ai Roundtable's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=ai-roundtable&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 — sécurité, maintenance, documentation, conformité, and community — has evolved independently, providing granular visibility into which aspects of Ai Roundtable are strengthening or weakening over time.
Ai Roundtable vs Alternatives
In the design category, Ai Roundtable scores 72.4/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Ai Roundtable vs InvokeAI — Trust Score: 69.1/100
- Ai Roundtable vs onlook — Trust Score: 72.3/100
- Ai Roundtable vs Figma Context — Trust Score: 59.9/100
Points Essentiels
- Ai Roundtable has a Trust Score of 72.4/100 (B) and is Nerq Verified.
- Ai Roundtable meets the minimum threshold for production deployment, though monitoring and additional guardrails are recommended.
- Among design tools, Ai Roundtable scores significantly above the category average of 62/100, demonstrating above-average reliability.
- Always verify safety independently — use Nerq's Preflight API for automated, up-to-date trust checks before integration.
Analyse détaillée du score
| Dimension | Score |
|---|---|
| Sécurité | 0/100 |
| Maintenance | 1/100 |
| Popularité | 0/100 |
Basé sur 3 dimensions. Data from plusieurs sources publiques dont les registres de paquets, GitHub, NVD, OSV.dev et OpenSSF Scorecard.
Quelles données Ai Roundtable collecte-t-il ?
Confidentialité assessment for Ai Roundtable is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Ai Roundtable est-il sécurisé ?
Sécurité score: 0/100. Review sécurité practices and consider alternatives with higher sécurité scores for sensitive use cases.
Nerq surveille cette entité par rapport à NVD, OSV.dev et aux bases de données de vulnérabilités spécifiques aux registres pour une évaluation de sécurité continue.
Analyse complète : Rapport de sécurité de Ai Roundtable
Comment nous avons calculé ce score
Ai Roundtable's trust score of 72.4/100 (B) est calculé à partir de plusieurs sources publiques dont les registres de paquets, GitHub, NVD, OSV.dev et OpenSSF Scorecard. Le score reflète 3 dimensions indépendantes: sécurité (0/100), maintenance (1/100), popularité (0/100). Chaque dimension est pondérée de manière égale pour produire le score de confiance composite.
Nerq analyse plus de 7,5 millions d'entités dans 26 registres en utilisant la même méthodologie, permettant une comparaison directe entre entités. Les scores sont mis à jour en continu dès que de nouvelles données sont disponibles.
Cette page a été révisée pour la dernière fois le April 24, 2026. Version des données: 1.0.
Documentation complète de la méthodologie · Données lisibles par machine (API JSON)
Questions fréquentes
Ai Roundtable est-il sûr ?
Quel est le score de confiance de Ai Roundtable ?
Quelles sont les alternatives plus sûres à Ai Roundtable ?
À quelle fréquence le score de sécurité de Ai Roundtable est-il mis à jour ?
Puis-je utiliser Ai Roundtable dans un environnement réglementé ?
Voir aussi
Disclaimer: Les scores de confiance Nerq sont des évaluations automatisées basées sur des signaux publiquement disponibles. Ce ne sont pas des recommandations ou des garanties. Effectuez toujours votre propre vérification.