¿Es Dataops Agent Seguro?
Dataops Agent — Nerq Trust Score 57.7/100 (Grado D). Basado en el análisis de 5 dimensiones de confianza, se tiene preocupaciones de seguridad notables. Última actualización: 2026-07-11.
Usa Dataops Agent con precaución. Dataops Agent es un software tool con un Nerq Trust Score de 57.7/100 (D), basado en 5 dimensiones de datos independientes. Por debajo del umbral verificado de Nerq Seguridad: 0/100. Mantenimiento: 1/100. Popularidad: 0/100. Datos de múltiples fuentes públicas incluyendo registros de paquetes, GitHub, NVD, OSV.dev y OpenSSF Scorecard. Última actualización: 2026-07-11. Datos legibles por máquina (JSON).
¿Es Dataops Agent Seguro?
CAUTION — Dataops Agent has a Nerq Trust Score of 57.7/100 (D). Tiene señales de confianza moderadas pero muestra algunas áreas de preocupación that warrant attention. Suitable for development use — review seguridad and mantenimiento signals before production deployment.
¿Cuál es la puntuación de confianza de Dataops Agent?
Dataops Agent tiene una Puntuación de Confianza Nerq de 57.7/100, obteniendo un grado D. Esta puntuación se basa en 5 dimensiones medidas independientemente.
¿Cuáles son los hallazgos de seguridad clave de Dataops Agent?
La señal más fuerte de Dataops Agent es cumplimiento con 87/100. No se han detectado vulnerabilidades conocidas. Aún no ha alcanzado el umbral verificado de Nerq de 70+.
¿Qué es Dataops Agent y quién lo mantiene?
| Autor | GT0096 |
| Categoría | Data |
| Fuente | https://github.com/GT0096/dataops-agent |
| Frameworks | openai · mcp |
| Protocols | mcp · rest |
Cumplimiento Regulatorio
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 87/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Alternativas Populares en data
What Is Dataops Agent?
Dataops Agent is a software tool in the data category: AI-powered DataOps Assistant for Azure.. Nerq Trust Score: 58/100 (D).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including seguridad vulnerabilities, mantenimiento activity, license cumplimiento, and adopción por la comunidad.
How Nerq Assesses Dataops Agent's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensiones. Here is how Dataops Agent performs in each:
- Seguridad (0/100): Dataops Agent's seguridad posture is poor. This score factors in known CVEs, dependency vulnerabilities, seguridad policy presence, and code signing practices.
- Mantenimiento (1/100): Dataops Agent 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 documentación, usage examples, and contribution guidelines.
- Compliance (87/100): Dataops Agent is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Basado en GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 57.7/100 (D) 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 Dataops Agent?
Dataops Agent is designed for:
- Developers and teams working with data tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Dataops Agent is suitable for development and testing environments. Before production deployment, conduct a thorough review of its seguridad posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Dataops Agent's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Revisar el/la repository's seguridad policy, open issues, and recent commits for signs of active mantenimiento.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Dataops Agent's dependency tree. - Reseña permissions — Understand what access Dataops Agent requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Dataops Agent 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=dataops-agent - Revisar el/la license — Confirm that Dataops Agent'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 seguridad concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Dataops Agent
When evaluating whether Dataops Agent is safe, consider these category-specific risks:
Understand how Dataops Agent processes, stores, and transmits your data. Revisar el/la tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Dataops Agent's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher seguridad risk.
Regularly check for updates to Dataops Agent. Seguridad patches and bug fixes are only effective if you're running the latest version.
If Dataops Agent 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 Dataops Agent's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Dataops Agent in violation of its license can expose your organization to legal liability.
Dataops Agent and the EU AI Act
Dataops Agent 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 cumplimiento assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal cumplimiento.
Best Practices for Using Dataops Agent Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Dataops Agent while minimizing risk:
Periodically review how Dataops Agent is used in your workflow. Check for unexpected behavior, permissions drift, and cumplimiento with your seguridad policies.
Ensure Dataops Agent and all its dependencies are running the latest stable versions to benefit from seguridad patches.
Grant Dataops Agent only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Dataops Agent's seguridad advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Dataops Agent is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Dataops Agent?
Even promising tools aren't right for every situation. Consider avoiding Dataops Agent in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional cumplimiento review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Dataops Agent's trust score of 57.7/100 meets your organization's risk tolerance. We recommend running a manual seguridad assessment alongside the automated Nerq score.
How Dataops Agent Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among data tools, the average Trust Score is 62/100. Dataops Agent's score of 57.7/100 is near the category average of 62/100.
This places Dataops Agent in line with the typical data 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 moderado 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 Dataops Agent 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 mantenimiento patterns change, Dataops Agent'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 seguridad and quality. Conversely, a downward trend may signal reduced mantenimiento, growing technical debt, or unresolved vulnerabilities. To track Dataops Agent's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=dataops-agent&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 — seguridad, mantenimiento, documentación, cumplimiento, and community — has evolved independently, providing granular visibility into which aspects of Dataops Agent are strengthening or weakening over time.
Dataops Agent vs Alternativas
In the data category, Dataops Agent scores 57.7/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Dataops Agent vs firecrawl — Trust Score: 57.2/100
- Dataops Agent vs MinerU — Trust Score: 62.2/100
- Dataops Agent vs mindsdb — Trust Score: 47.8/100
Puntos Clave
- Dataops Agent has a Trust Score of 57.7/100 (D) and is not yet Nerq Verified.
- Dataops Agent shows moderado trust signals. Conduct thorough due diligence before deploying to production environments.
- Among data tools, Dataops Agent scores near the category average of 62/100, suggesting room for improvement relative to peers.
- Always verify safety independently — use Nerq's Preflight API for automated, up-to-date trust checks before integration.
Preguntas Frecuentes
¿Es Dataops Agent Seguro?
¿Cuál es la puntuación de confianza de Dataops Agent?
¿Cuáles son alternativas más seguras a Dataops Agent?
¿Con qué frecuencia se actualiza la puntuación de Dataops Agent?
¿Puedo usar Dataops Agent en un entorno regulado?
Ver también
Disclaimer: Las puntuaciones de confianza de Nerq son evaluaciones automatizadas basadas en señales disponibles públicamente. No son respaldos ni garantías. Siempre realice su propia diligencia debida.