Is Deepsecure Ai veilig?
Deepsecure Ai — Nerq Vertrouwensscore 53.4/100 (D-beoordeling). Op basis van analyse van 4 vertrouwensdimensies wordt het beschouwd als heeft opmerkelijke beveiligingszorgen. Laatst bijgewerkt: 2026-04-04.
Gebruik Deepsecure Ai met voorzichtigheid. Deepsecure Ai is een software tool met een Nerq Vertrouwensscore van 53.4/100 (D), based on 4 onafhankelijke gegevensdimensies. Het ligt onder de aanbevolen drempel van 70. Onderhoud: 0/100. Populariteit: 0/100. Gegevens afkomstig van multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Laatst bijgewerkt: 2026-04-04. Machineleesbare gegevens (JSON).
Is Deepsecure Ai veilig?
VOORZICHTIGHEID — Deepsecure Ai heeft een Nerq Vertrouwensscore van 53.4/100 (D). Het heeft gematigde vertrouwenssignalen maar toont enkele aandachtspunten. Geschikt voor ontwikkelingsgebruik — controleer beveiligings- en onderhoudssignalen vóór productie-implementatie.
Wat is de vertrouwensscore van Deepsecure Ai?
Deepsecure Ai heeft een Nerq Vertrouwensscore van 53.4/100 met het cijfer D. Deze score is gebaseerd op 4 onafhankelijk gemeten dimensies, waaronder beveiliging, onderhoud en community-adoptie.
Wat zijn de belangrijkste beveiligingsbevindingen voor Deepsecure Ai?
Het sterkste signaal van Deepsecure Ai is naleving met 100/100. Er zijn geen bekende kwetsbaarheden gedetecteerd. It has not yet reached the Nerq Verified threshold of 70+.
Wat is Deepsecure Ai en wie onderhoudt het?
| Ontwikkelaar | ninjaonsteroids |
| Categorie | beveiliging |
| Sterren | 2 |
| Bron | https://huggingface.co/spaces/ninjaonsteroids/DeepSecure-AI |
| Protocols | huggingface_hub |
Naleving van regelgeving
| EU AI Act Risk Class | Not assessed |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Populaire alternatieven in beveiliging
What Is Deepsecure Ai?
Deepsecure Ai is a beveiliging tool: DeepSecure-AI autonomously monitors and secures systems.. It has 2 GitHub stars. Nerq Vertrouwensscore: 53/100 (D).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including beveiliging vulnerabilities, onderhoud activity, license naleving, and gemeenschapsacceptatie.
How Nerq Assesses Deepsecure Ai's Safety
Nerq's Vertrouwensscore is calculated from 13+ independent signals aggregated into five dimensies. Here is how Deepsecure Ai performs in each:
- Onderhoud (0/100): Deepsecure Ai 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 documentatie, usage examples, and contribution guidelines.
- Compliance (100/100): Deepsecure Ai is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Gebaseerd op GitHub stars, forks, download counts, and ecosystem integrations.
The overall Vertrouwensscore of 53.4/100 (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 Deepsecure Ai?
Deepsecure Ai is designed for:
- Developers and teams working with beveiliging tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Deepsecure Ai is suitable for development and testing environments. Before production deployment, conduct a thorough review of its beveiliging posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Deepsecure Ai's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Bekijk de repository beveiliging policy, open issues, and recent commits for signs of active onderhoud.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for bekende kwetsbaarheden in Deepsecure Ai's dependency tree. - Beoordeling permissions — Understand what access Deepsecure Ai requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Deepsecure Ai 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=DeepSecure-AI - Bekijk de license — Confirm that Deepsecure Ai'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 beveiliging concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Deepsecure Ai
When evaluating whether Deepsecure Ai is safe, consider these category-specific risks:
Understand how Deepsecure Ai processes, stores, and transmits your data. Bekijk de tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Deepsecure Ai's dependency tree for bekende kwetsbaarheden. Tools with outdated or unmaintained dependencies pose a higher beveiliging risk.
Regularly check for updates to Deepsecure Ai. Beveiliging patches and bug fixes are only effective if you're running the latest version.
If Deepsecure Ai 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 Deepsecure Ai's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Deepsecure Ai in violation of its license can expose your organization to legal liability.
Best Practices for Using Deepsecure Ai Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Deepsecure Ai while minimizing risk:
Periodically review how Deepsecure Ai is used in your workflow. Check for unexpected behavior, permissions drift, and naleving with your beveiliging policies.
Ensure Deepsecure Ai and all its dependencies are running the latest stable versions to benefit from beveiliging patches.
Grant Deepsecure Ai only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Deepsecure Ai's beveiliging advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Deepsecure Ai is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Deepsecure Ai?
Even promising tools aren't right for every situation. Consider avoiding Deepsecure Ai in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional naleving review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Deepsecure Ai is 53.4/100 meets your organization's risk tolerance. We recommend running a manual beveiliging assessment alongside the automated Nerq score.
How Deepsecure Ai Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among beveiliging tools, the average Vertrouwensscore is 67/100. Deepsecure Ai's score of 53.4/100 is below the category average of 67/100.
This suggests that Deepsecure Ai trails behind many comparable beveiliging tools. Organizations with strict beveiliging requirements should evaluate whether higher-scoring alternatives better meet their needs.
Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks matig 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.
Vertrouwensscore History
Nerq continuously monitors Deepsecure Ai and recalculates its Vertrouwensscore 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 onderhoud patterns change, Deepsecure Ai'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 beveiliging and quality. Conversely, a downward trend may signal reduced onderhoud, growing technical debt, or unresolved vulnerabilities. To track Deepsecure Ai's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=DeepSecure-AI&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 — beveiliging, onderhoud, documentatie, naleving, and community — has evolved independently, providing granular visibility into which aspects of Deepsecure Ai are strengthening or weakening over time.
Deepsecure Ai vs Alternatieven
In the beveiliging category, Deepsecure Ai scores 53.4/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Deepsecure Ai vs Ciphey — Vertrouwensscore: 73.8/100
- Deepsecure Ai vs strix — Vertrouwensscore: 73.8/100
- Deepsecure Ai vs SWE-agent — Vertrouwensscore: 91.3/100
Belangrijkste conclusies
- Deepsecure Ai has a Vertrouwensscore of 53.4/100 (D) and is not yet Nerq Verified.
- Deepsecure Ai shows matig trust signals. Conduct thorough due diligence before deploying to production environments.
- Among beveiliging tools, Deepsecure Ai scores below the category average of 67/100, 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.
Veelgestelde vragen
Is Deepsecure Ai veilig om te gebruiken?
Wat is Deepsecure Ai's trust score?
Wat zijn veiligere alternatieven voor Deepsecure Ai?
How often is Deepsecure Ai's safety score updated?
Kan ik Deepsecure Ai gebruiken in een gereguleerde omgeving?
Disclaimer: Nerq-vertrouwensscores zijn geautomatiseerde beoordelingen op basis van openbaar beschikbare signalen. Ze vormen geen aanbeveling of garantie. Voer altijd uw eigen verificatie uit.