Is Deepseek R1 0528 Safe?

Deepseek R1 0528 — Nerq Trust Score 52.1/100 (D grade). Based on analysis of 4 trust dimensions, it is has notable safety concerns. Last updated: 2026-05-09.

Use Deepseek R1 0528 with some caution. Deepseek R1 0528 is a software tool with a Nerq Trust Score of 52.1/100 (D), based on 4 independent data dimensions. Below the recommended threshold of 70. Maintenance: 0/100. Popularity: 0/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-05-09. Machine-readable data (JSON).

Is Deepseek R1 0528 safe?

CAUTION — Deepseek R1 0528 has a Nerq Trust Score of 52.1/100 (D). It has moderate trust signals but shows some areas of concern that warrant attention. Suitable for development use — review security and maintenance signals before production deployment.

Security Analysis → Deepseek R1 0528 Privacy Report →

What is Deepseek R1 0528's trust score?

Deepseek R1 0528 has a Nerq Trust Score of 52.1/100, earning a D grade. This score is based on 4 independently measured dimensions including security, maintenance, and community adoption.

Compliance
100
Maintenance
0
Documentation
0
Popularity
0

What are the key security findings for Deepseek R1 0528?

Deepseek R1 0528's strongest signal is compliance at 100/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.

Maintenance: 0/100 — low maintenance activity
Compliance: 100/100 — covers 52 of 52 jurisdictions
Documentation: 0/100 — limited documentation
Popularity: 0/100 — 2 stars on huggingface space v2

What is Deepseek R1 0528 and who maintains it?

Authoraiqcamp
CategoryOther
Stars2
Sourcehttps://huggingface.co/spaces/aiqcamp/deepseek-r1-0528
Protocolshuggingface_api

Regulatory Compliance

EU AI Act Risk ClassNot assessed
Compliance Score100/100
JurisdictionsAssessed across 52 jurisdictions

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What Is Deepseek R1 0528?

Deepseek R1 0528 is a software tool in the other category: N/A. It has 2 GitHub stars. Nerq Trust Score: 52/100 (D).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including security vulnerabilities, maintenance activity, license compliance, and community adoption.

How Nerq Assesses Deepseek R1 0528's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Deepseek R1 0528 performs in each:

The overall Trust Score of 52.1/100 (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 Deepseek R1 0528?

Deepseek R1 0528 is designed for:

Risk guidance: Deepseek R1 0528 is suitable for development and testing environments. Before production deployment, conduct a thorough review of its security posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.

How to Verify Deepseek R1 0528's Safety Yourself

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

  1. Check the source code — Review the repository security policy, open issues, and recent commits for signs of active maintenance.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Deepseek R1 0528's dependency tree.
  3. Review permissions — Understand what access Deepseek R1 0528 requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Deepseek R1 0528 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=deepseek-r1-0528
  6. Review the license — Confirm that Deepseek R1 0528'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 security concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Deepseek R1 0528

When evaluating whether Deepseek R1 0528 is safe, consider these category-specific risks:

Data handling

Understand how Deepseek R1 0528 processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency security

Check Deepseek R1 0528's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.

Update frequency

Regularly check for updates to Deepseek R1 0528. Security patches and bug fixes are only effective if you're running the latest version.

Third-party integrations

If Deepseek R1 0528 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 compliance

Verify that Deepseek R1 0528's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Deepseek R1 0528 in violation of its license can expose your organization to legal liability.

Best Practices for Using Deepseek R1 0528 Safely

Whether you're an individual developer or an enterprise team, these practices will help you get the most from Deepseek R1 0528 while minimizing risk:

Conduct regular audits

Periodically review how Deepseek R1 0528 is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.

Keep dependencies updated

Ensure Deepseek R1 0528 and all its dependencies are running the latest stable versions to benefit from security patches.

Follow least privilege

Grant Deepseek R1 0528 only the minimum permissions it needs to function. Avoid granting admin or root access.

Monitor for security advisories

Subscribe to Deepseek R1 0528's security 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 Deepseek R1 0528 is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Deepseek R1 0528?

Even promising tools aren't right for every situation. Consider avoiding Deepseek R1 0528 in these scenarios:

For each scenario, evaluate whether Deepseek R1 0528's trust score of 52.1/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.

How Deepseek R1 0528 Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among other tools, the average Trust Score is 62/100. Deepseek R1 0528's score of 52.1/100 is near the category average of 62/100.

This places Deepseek R1 0528 in line with the typical other 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 moderate 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 Deepseek R1 0528 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, Deepseek R1 0528'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 security and quality. Conversely, a downward trend may signal reduced maintenance, growing technical debt, or unresolved vulnerabilities. To track Deepseek R1 0528's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=deepseek-r1-0528&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 — security, maintenance, documentation, compliance, and community — has evolved independently, providing granular visibility into which aspects of Deepseek R1 0528 are strengthening or weakening over time.

Deepseek R1 0528 vs Alternatives

In the other category, Deepseek R1 0528 scores 52.1/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Key Takeaways

Detailed Score Analysis

DimensionScore
Maintenance0/100
Popularity0/100

Based on 2 dimensions. Data from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard.

What data does Deepseek R1 0528 collect?

Privacy assessment for Deepseek R1 0528 is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.

Is Deepseek R1 0528 secure?

Security score: under assessment. Review security practices and consider alternatives with higher security scores for sensitive use cases.

Nerq monitors this entity against NVD, OSV.dev, and registry-specific vulnerability databases for ongoing security assessment.

Full analysis: Deepseek R1 0528 Security Report

How we calculated this score

Deepseek R1 0528's trust score of 52.1/100 (D) is computed from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 2 independent dimensions: maintenance (0/100), popularity (0/100). Each dimension is weighted equally to produce the composite trust score.

Nerq analyzes over 7.5 million entities across 26 registries using the same methodology, enabling direct cross-entity comparison. Scores are updated continuously as new data becomes available.

This page was last reviewed on May 09, 2026. Data version: 1.0.

Full methodology documentation · Machine-readable data (JSON API)

Frequently Asked Questions

Is Deepseek R1 0528 Safe?
Use with some caution. deepseek-r1-0528 with a Nerq Trust Score of 52.1/100 (D). Strongest signal: compliance (100/100). Score based on Maintenance (0/100), Popularity (0/100), Documentation (0/100).
What is Deepseek R1 0528's trust score?
deepseek-r1-0528: 52.1/100 (D). Score based on Maintenance (0/100), Popularity (0/100), Documentation (0/100). Compliance: 100/100. Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=deepseek-r1-0528
What are safer alternatives to Deepseek R1 0528?
In the Other category, higher-rated alternatives include Developer-Y/cs-video-courses (69/100), binhnguyennus/awesome-scalability (50/100), obra/superpowers (72/100). deepseek-r1-0528 scores 52.1/100.
How often is Deepseek R1 0528's safety score updated?
Nerq continuously monitors Deepseek R1 0528 and updates its trust score as new data becomes available. Current: 52.1/100 (D), last verified 2026-05-09. API: GET nerq.ai/v1/preflight?target=deepseek-r1-0528
Can I use Deepseek R1 0528 in a regulated environment?
Deepseek R1 0528 has not reached the Nerq Verified threshold of 70. Additional due diligence is recommended.
API: /v1/preflight Trust Badge API Docs

See Also

Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.

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