Is N8N Ai Workflows Safe?
N8N Ai Workflows — Nerq Trust Score 64.6/100 (C grade). Based on analysis of 5 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-04-25.
Use N8N Ai Workflows with some caution. N8N Ai Workflows is a software tool with a Nerq Trust Score of 64.6/100 (C), based on 5 independent data dimensions. Below the recommended threshold of 70. Security: 0/100. Maintenance: 1/100. Popularity: 0/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-25. Machine-readable data (JSON).
Is N8N Ai Workflows safe?
CAUTION — N8N Ai Workflows has a Nerq Trust Score of 64.6/100 (C). 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.
What is N8N Ai Workflows's trust score?
N8N Ai Workflows has a Nerq Trust Score of 64.6/100, earning a C grade. This score is based on 5 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for N8N Ai Workflows?
N8N Ai Workflows'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+.
What is N8N Ai Workflows and who maintains it?
| Author | jatinmonga-ai |
| Category | Coding |
| Source | https://github.com/jatinmonga-ai/n8n-ai-workflows |
| Protocols | rest |
Regulatory Compliance
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Popular Alternatives in coding
What Is N8N Ai Workflows?
N8N Ai Workflows is a software tool in the coding category: n8n-ai-workflows enables quick creation of AI-powered automation workflows.. Nerq Trust Score: 65/100 (C).
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 N8N Ai Workflows's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how N8N Ai Workflows performs in each:
- Security (0/100): N8N Ai Workflows's security posture is poor. This score factors in known CVEs, dependency vulnerabilities, security policy presence, and code signing practices.
- Maintenance (1/100): N8N Ai Workflows 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 documentation, usage examples, and contribution guidelines.
- Compliance (100/100): N8N Ai Workflows is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Based on GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 64.6/100 (C) 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 N8N Ai Workflows?
N8N Ai Workflows is designed for:
- Developers and teams working with coding tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: N8N Ai Workflows 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 N8N Ai Workflows's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Review the repository's security policy, open issues, and recent commits for signs of active maintenance.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in N8N Ai Workflows's dependency tree. - Review permissions — Understand what access N8N Ai Workflows requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run N8N Ai Workflows 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=n8n-ai-workflows - Review the license — Confirm that N8N Ai Workflows'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 security concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with N8N Ai Workflows
When evaluating whether N8N Ai Workflows is safe, consider these category-specific risks:
Understand how N8N Ai Workflows processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check N8N Ai Workflows's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to N8N Ai Workflows. Security patches and bug fixes are only effective if you're running the latest version.
If N8N Ai Workflows 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 N8N Ai Workflows's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using N8N Ai Workflows in violation of its license can expose your organization to legal liability.
N8N Ai Workflows and the EU AI Act
N8N Ai Workflows 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 compliance assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal compliance.
Best Practices for Using N8N Ai Workflows Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from N8N Ai Workflows while minimizing risk:
Periodically review how N8N Ai Workflows is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure N8N Ai Workflows and all its dependencies are running the latest stable versions to benefit from security patches.
Grant N8N Ai Workflows only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to N8N Ai Workflows's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how N8N Ai Workflows is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid N8N Ai Workflows?
Even promising tools aren't right for every situation. Consider avoiding N8N Ai Workflows in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional compliance review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether N8N Ai Workflows's trust score of 64.6/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How N8N Ai Workflows Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among coding tools, the average Trust Score is 62/100. N8N Ai Workflows's score of 64.6/100 is above the category average of 62/100.
This positions N8N Ai Workflows favorably among coding tools. While it outperforms the average, there is still room for improvement in certain trust dimensions.
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 N8N Ai Workflows 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, N8N Ai Workflows'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 N8N Ai Workflows's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=n8n-ai-workflows&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 N8N Ai Workflows are strengthening or weakening over time.
N8N Ai Workflows vs Alternatives
In the coding category, N8N Ai Workflows scores 64.6/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- N8N Ai Workflows vs AutoGPT — Trust Score: 74.7/100
- N8N Ai Workflows vs ollama — Trust Score: 73.8/100
- N8N Ai Workflows vs langchain — Trust Score: 71.3/100
Key Takeaways
- N8N Ai Workflows has a Trust Score of 64.6/100 (C) and is not yet Nerq Verified.
- N8N Ai Workflows shows moderate trust signals. Conduct thorough due diligence before deploying to production environments.
- Among coding tools, N8N Ai Workflows scores above the category average of 62/100, demonstrating above-average reliability.
- Always verify safety independently — use Nerq's Preflight API for automated, up-to-date trust checks before integration.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 0/100 |
| Maintenance | 1/100 |
| Popularity | 0/100 |
Based on 3 dimensions. Data from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard.
What data does N8N Ai Workflows collect?
Privacy assessment for N8N Ai Workflows is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Is N8N Ai Workflows secure?
Security score: 0/100. 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: N8N Ai Workflows Security Report
How we calculated this score
N8N Ai Workflows's trust score of 64.6/100 (C) is computed from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 3 independent dimensions: security (0/100), maintenance (1/100), 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 April 25, 2026. Data version: 1.0.
Full methodology documentation · Machine-readable data (JSON API)
Frequently Asked Questions
Is N8N Ai Workflows Safe?
What is N8N Ai Workflows's trust score?
What are safer alternatives to N8N Ai Workflows?
How often is N8N Ai Workflows's safety score updated?
Can I use N8N Ai Workflows in a regulated environment?
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.