Er Voiceassistant Eval sikker?
Voiceassistant Eval — Nerq Trust Score 59.0/100 (Karakter D). Baseret på analyse af 4 tillidsdimensioner vurderes det som har bemærkelsesværdige sikkerhedsproblemer. Sidst opdateret: 2026-04-06.
Brug Voiceassistant Eval med forsigtighed. Voiceassistant Eval er en software tool med en Nerq Tillidsscore på 59.0/100 (D), based on 4 uafhængige datadimensioner. Under Nerqs verificerede tærskel Vedligeholdelse: 0/100. Popularitet: 0/100. Data hentet fra flere offentlige kilder herunder pakkeregistre, GitHub, NVD, OSV.dev og OpenSSF Scorecard. Sidst opdateret: 2026-04-06. Maskinlæsbare data (JSON).
Er Voiceassistant Eval sikker?
CAUTION — Voiceassistant Eval has a Nerq Trust Score of 59.0/100 (D). Har moderat tillidssignaler, men viser nogle bekymrende områder that warrant attention. Suitable for development use — review sikkerhed and vedligeholdelse signals before production deployment.
Hvad er Voiceassistant Evals tillidsscore?
Voiceassistant Eval har en Nerq Trust Score på 59.0/100 med karakteren D. Denne score er baseret på 4 uafhængigt målte dimensioner, herunder sikkerhed, vedligeholdelse og community-adoption.
Hvad er de vigtigste sikkerhedsresultater for Voiceassistant Eval?
Voiceassistant Evals stærkeste signal er overholdelse på 87/100. Ingen kendte sårbarheder er fundet. It has not yet reached the Nerq Verified threshold of 70+.
Hvad er Voiceassistant Eval og hvem vedligeholder det?
| Udvikler | MathLLMs |
| Kategori | Communication |
| Stjerner | 10 |
| Kilde | https://huggingface.co/datasets/MathLLMs/VoiceAssistant-Eval |
| Protocols | huggingface_api |
Lovgivningsmæssig overholdelse
| EU AI Act Risk Class | Not assessed |
| Compliance Score | 87/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Populære alternativer i communication
What Is Voiceassistant Eval?
Voiceassistant Eval is a software tool in the communication category: Math evaluation and voice assistant functionality.. It has 10 GitHub stars. Nerq Trust Score: 59/100 (D).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including sikkerhed vulnerabilities, vedligeholdelse activity, license overholdelse, and fællesskabsadoption.
How Nerq Assesses Voiceassistant Eval's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensioner. Here is how Voiceassistant Eval performs in each:
- Vedligeholdelse (0/100): Voiceassistant Eval is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (0/100): Documentation quality is insufficient. This includes README completeness, API dokumentation, usage examples, and contribution guidelines.
- Compliance (87/100): Voiceassistant Eval is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Baseret på GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 59.0/100 (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 Voiceassistant Eval?
Voiceassistant Eval is designed for:
- Developers and teams working with communication tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Voiceassistant Eval is suitable for development and testing environments. Before production deployment, conduct a thorough review of its sikkerhed posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Voiceassistant Eval's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Gennemgå repository sikkerhed policy, open issues, and recent commits for signs of active vedligeholdelse.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Voiceassistant Eval's dependency tree. - Anmeldelse permissions — Understand what access Voiceassistant Eval requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Voiceassistant Eval 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=VoiceAssistant-Eval - Gennemgå license — Confirm that Voiceassistant Eval'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 sikkerhed concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Voiceassistant Eval
When evaluating whether Voiceassistant Eval is safe, consider these category-specific risks:
Understand how Voiceassistant Eval processes, stores, and transmits your data. Gennemgå tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Voiceassistant Eval's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher sikkerhed risk.
Regularly check for updates to Voiceassistant Eval. Sikkerhed patches and bug fixes are only effective if you're running the latest version.
If Voiceassistant Eval 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 Voiceassistant Eval's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Voiceassistant Eval in violation of its license can expose your organization to legal liability.
Best Practices for Using Voiceassistant Eval Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Voiceassistant Eval while minimizing risk:
Periodically review how Voiceassistant Eval is used in your workflow. Check for unexpected behavior, permissions drift, and overholdelse with your sikkerhed policies.
Ensure Voiceassistant Eval and all its dependencies are running the latest stable versions to benefit from sikkerhed patches.
Grant Voiceassistant Eval only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Voiceassistant Eval's sikkerhed advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Voiceassistant Eval is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Voiceassistant Eval?
Even promising tools aren't right for every situation. Consider avoiding Voiceassistant Eval in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional overholdelse review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Voiceassistant Eval's trust score of 59.0/100 meets your organization's risk tolerance. We recommend running a manual sikkerhed assessment alongside the automated Nerq score.
How Voiceassistant Eval Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among communication tools, the average Trust Score is 62/100. Voiceassistant Eval's score of 59.0/100 is near the category average of 62/100.
This places Voiceassistant Eval in line with the typical communication 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 moderat 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 Voiceassistant Eval 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 vedligeholdelse patterns change, Voiceassistant Eval'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 sikkerhed and quality. Conversely, a downward trend may signal reduced vedligeholdelse, growing technical debt, or unresolved vulnerabilities. To track Voiceassistant Eval's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=VoiceAssistant-Eval&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 — sikkerhed, vedligeholdelse, dokumentation, overholdelse, and community — has evolved independently, providing granular visibility into which aspects of Voiceassistant Eval are strengthening or weakening over time.
Voiceassistant Eval vs Alternativer
In the communication category, Voiceassistant Eval scores 59.0/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Voiceassistant Eval vs Real-Time-Voice-Cloning — Trust Score: 71.3/100
- Voiceassistant Eval vs ChatGPT — Trust Score: 73.8/100
- Voiceassistant Eval vs jan — Trust Score: 73.8/100
Vigtigste pointer
- Voiceassistant Eval has a Trust Score of 59.0/100 (D) and is not yet Nerq Verified.
- Voiceassistant Eval shows moderat trust signals. Conduct thorough due diligence before deploying to production environments.
- Among communication tools, Voiceassistant Eval 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.
Ofte stillede spørgsmål
Er Voiceassistant Eval sikker?
Hvad er Voiceassistant Evals tillidsscore?
What are safer alternatives to Voiceassistant Eval?
How often is Voiceassistant Eval's safety score updated?
Can I use Voiceassistant Eval in a regulated environment?
Se også
Disclaimer: Nerqs tillidsscorer er automatiserede vurderinger baseret på offentligt tilgængelige signaler. De udgør ikke anbefalinger eller garantier. Foretag altid din egen verificering.