Is Ibm Watsonx Code Safe?
Ibm Watsonx Code — Nerq Trust Score 48.2/100 (D grade). Based on analysis of 2 trust dimensions, it is has notable safety concerns. Last updated: 2026-05-06.
Exercise caution with Ibm Watsonx Code. Ibm Watsonx Code is a AI tool with a Nerq Trust Score of 48.2/100 (D), based on 3 independent data dimensions. Below the recommended threshold of 70. Security: 90/100. Popularity: 0/100. Data sourced from privacy policy analysis, data handling practices, company background, and security certifications. Last updated: 2026-03-25. Machine-readable data (JSON).
Is Ibm Watsonx Code safe?
NO — USE WITH CAUTION — Ibm Watsonx Code has a Nerq Trust Score of 48.2/100 (D). It has below-average trust signals with significant gaps in security, maintenance, or documentation. Not recommended for production use without thorough manual review and additional security measures.
What is Ibm Watsonx Code's trust score?
Ibm Watsonx Code has a Nerq Trust Score of 48.2/100, earning a D grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Ibm Watsonx Code?
Ibm Watsonx Code's strongest signal is security at 90/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
What is Ibm Watsonx Code and who maintains it?
| Author | Unknown |
| Category | Ai Tool |
| Source | N/A |
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Safety Guide: Ibm Watsonx Code
What is Ibm Watsonx Code?
Ibm Watsonx Code is a software tool — IBM watsonx Code — Code AI tool..
How to Verify Safety
Review the project for recent activity and known issues.
You can also check the trust score via API: GET /v1/preflight?target=IBM watsonx Code
Key Safety Concerns for software tool
When evaluating any software tool, watch for: maintenance status, security.
Trust Assessment
Ibm Watsonx Code has a Nerq Trust Score of 48/100 (D) and has not yet reached Nerq trust threshold (70+). This score is based on automated analysis of security, maintenance, community, and quality signals.
Key Takeaways
- Ibm Watsonx Code has a Trust Score of 48/100 (D).
- Review carefully before use — below trust threshold.
- Always verify independently using the Nerq API.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Maintenance | 50/100 |
| Popularity | 0/100 |
| Quality | 40/100 |
| Community | 35/100 |
Based on 5 dimensions. Data from privacy policy analysis, data handling practices, company background, and security certifications.
What data does Ibm Watsonx Code collect?
Privacy assessment for Ibm Watsonx Code is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Is Ibm Watsonx Code secure?
Security score: 90/100. IBM watsonx Code — Code AI tool.
Check Ibm Watsonx Code's security page for certifications such as SOC 2 Type II, ISO 27001, or GDPR compliance documentation. These certifications indicate that the vendor follows established security practices and undergoes regular audits.
For enterprise deployments, verify SSO/SAML support, role-based access control, and audit logging capabilities.
Full analysis: Ibm Watsonx Code Security Report
How we calculated this score
Ibm Watsonx Code's trust score of 48.2/100 (D) is computed from privacy policy analysis, data handling practices, company background, and security certifications. The score reflects 5 independent dimensions: security (90/100), maintenance (50/100), popularity (0/100), quality (40/100), community (35/100). 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 06, 2026. Data version: 0.0.
Full methodology documentation · Machine-readable data (JSON API)
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Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.