Is Gemini Safe? — Trust Score: 80.0/100
According to Nerq's independent analysis of gemini, this AI tool has a trust score of 80.0 out of 100, earning a A- grade. With 92 stars on huggingface_author2, it is recommended for production use. Compliance: 100/100 across 52 jurisdictions. Data sourced from 13+ independent signals including GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-19. Machine-readable data (JSON).
Is Gemini safe?
YES — Gemini has a Nerq Trust Score of 80.0/100 (A-). It meets Nerq's trust threshold with strong signals across security, maintenance, and community adoption. Recommended for production use — review the full report below for specific considerations.
Trust Assessment
Trusted — gemini demonstrates strong trust signals. It meets the threshold for Nerq Verified status, indicating solid security practices, active maintenance, and a healthy ecosystem presence.
Trust Signal Breakdown
Details
| Author | clem |
| Category | AI tool |
| Stars | 92 |
| Source | https://huggingface.co/clem/gemini |
| Protocols | huggingface_api |
Regulatory Compliance
| EU AI Act Risk Class | Not assessed |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Popular Alternatives in AI tool
Deep Analysis: gemini
Executive Summary
gemini is a AI tool tool with a Nerq Trust Score of 59.2/100 (D). No known vulnerabilities. 92 GitHub stars. Gemini is an LLM-based automation tool.
Security
No known CVEs. gemini has a clean security record in the Nerq database.
Maintenance Health
- GitHub stars: 92
- Activity score: 0/100
Ecosystem Position
- Compatible frameworks: anthropic, cohere, crewai, google-genai, groq, mistral, ollama, openai
Cost Analysis
- Pricing: open_source_free — Free
- Free tier: Unlimited (self-hosted)
- Pricing: open_source_free — Free
- Free tier: Unlimited (self-hosted)
- Pricing: open_source_free — Free
- Free tier: Unlimited (self-hosted)
- Cost per code_review: $0.0018
- Cost per code_generation: $0.0027
- Cost per chat_response: $0.0004
- Cost per document_analysis: $0.0027
- Cost per data_extraction: $0.0014
Trust Score Breakdown
Strongest: Compliance (100/100). Weakest: Maintenance (0/100).
How to Improve This Score
Frequently Asked Questions
Is gemini safe to use in production?
Caution advised. gemini has a Nerq Trust Score of 59.2/100 (D). This is below the Nerq Verified threshold of 70. Consider alternatives or perform additional due diligence.
Does gemini have any known vulnerabilities?
As of March 2026, gemini has no known CVEs in the Nerq database.
What license does gemini use?
License information is not yet available in the Nerq database.
How does gemini compare to alternatives?
In the AI tool category, gemini scores 59.2/100. Use the Nerq comparison API to compare directly: curl nerq.ai/v1/compare/gemini/vs/[alternative]
How often is gemini updated?
Check the maintenance health section above for the latest activity data. Nerq tracks commit frequency, release cadence, and issue response times.
Community Reviews
No reviews yet. Be the first to review gemini.
What Is Gemini?
Gemini is a AI tool in the AI tool category. Gemini is an LLM-based automation tool.
As of March 2026, Gemini is available on huggingface_author2, making it an emerging tool in the AI ecosystem. But popularity alone does not equal safety — which is why Nerq independently analyzes every tool across 13+ trust signals.
How Nerq Assesses Gemini's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Gemini performs in each:
- Maintenance (0/100): Gemini 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): Gemini 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 59.2/100 (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 Gemini?
Gemini is designed for:
- Developers and teams working with AI tool tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Gemini 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 Gemini's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any AI tool:
- Check the source code — Review the repository 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 Gemini's dependency tree. - Review permissions — Understand what access Gemini requires. AI tools should follow the principle of least privilege.
- Test in isolation — Run Gemini 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=gemini - Review the license — Confirm that Gemini'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 Gemini
When evaluating whether Gemini is safe, consider these category-specific risks:
Understand how Gemini processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Gemini's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Gemini. Security patches and bug fixes are only effective if you're running the latest version.
If Gemini 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 Gemini's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Gemini in violation of its license can expose your organization to legal liability.
Best Practices for Using Gemini Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Gemini while minimizing risk:
Periodically review how Gemini is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Gemini and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Gemini only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Gemini's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Gemini is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Gemini?
Even promising tools aren't right for every situation. Consider avoiding Gemini 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 Gemini's trust score of 59.2/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How Gemini Compares to Industry Standards
Nerq indexes over 204,000 AI agents and tools across dozens of categories. Among AI tool tools, the average Trust Score is 62/100. Gemini's score of 59.2/100 is near the category average of 62/100.
This places Gemini in line with the typical AI tool 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 Gemini 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, Gemini'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 Gemini's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=gemini&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 Gemini are strengthening or weakening over time.
Gemini vs Alternatives
In the AI tool category, Gemini scores 59.2/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Gemini vs openclaw — Trust Score: 84.3/100
- Gemini vs stable-diffusion-webui — Trust Score: 69.3/100
- Gemini vs prompts.chat — Trust Score: 69.3/100
Key Takeaways
- Gemini has a Trust Score of 59.2/100 (D) and is not yet Nerq Verified.
- Gemini shows moderate trust signals. Conduct thorough due diligence before deploying to production environments.
- Among AI tool tools, Gemini 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.
Frequently Asked Questions
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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.