Is Ai Portfolio Safe?
Ai Portfolio — Nerq Trust Score 68.1/100 (C grade). Based on analysis of 5 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-04-25.
Use Ai Portfolio with some caution. Ai Portfolio is a software tool with a Nerq Trust Score of 68.1/100 (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 Ai Portfolio safe?
CAUTION — Ai Portfolio has a Nerq Trust Score of 68.1/100 (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 Ai Portfolio's trust score?
Ai Portfolio has a Nerq Trust Score of 68.1/100, 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 Ai Portfolio?
Ai Portfolio's strongest signal is compliance at 82/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
What is Ai Portfolio and who maintains it?
| Author | rollacode |
| Category | Marketing |
| Source | https://github.com/rollacode/ai-portfolio |
| Frameworks | openai · ollama |
| Protocols | rest |
Regulatory Compliance
| EU AI Act Risk Class | Not assessed |
| Compliance Score | 82/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Popular Alternatives in marketing
What Is Ai Portfolio?
Ai Portfolio is a software tool in the marketing category: Interactive AI portfolio agent for chatting and controlling UI.. Nerq Trust Score: 68/100 (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 Ai Portfolio's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Ai Portfolio performs in each:
- Security (0/100): Ai Portfolio's security posture is poor. This score factors in known CVEs, dependency vulnerabilities, security policy presence, and code signing practices.
- Maintenance (1/100): Ai Portfolio is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (1/100): Documentation quality is insufficient. This includes README completeness, API documentation, usage examples, and contribution guidelines.
- Compliance (82/100): Ai Portfolio 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 68.1/100 (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 Ai Portfolio?
Ai Portfolio is designed for:
- Developers and teams working with marketing tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Ai Portfolio 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 Ai Portfolio'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 Ai Portfolio's dependency tree. - Review permissions — Understand what access Ai Portfolio requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Ai Portfolio 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=ai-portfolio - Review the license — Confirm that Ai Portfolio'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 Ai Portfolio
When evaluating whether Ai Portfolio is safe, consider these category-specific risks:
Understand how Ai Portfolio processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Ai Portfolio's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Ai Portfolio. Security patches and bug fixes are only effective if you're running the latest version.
If Ai Portfolio 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 Ai Portfolio's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Ai Portfolio in violation of its license can expose your organization to legal liability.
Best Practices for Using Ai Portfolio Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Ai Portfolio while minimizing risk:
Periodically review how Ai Portfolio is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Ai Portfolio and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Ai Portfolio only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Ai Portfolio's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Ai Portfolio is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Ai Portfolio?
Even promising tools aren't right for every situation. Consider avoiding Ai Portfolio 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 Ai Portfolio's trust score of 68.1/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How Ai Portfolio Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among marketing tools, the average Trust Score is 62/100. Ai Portfolio's score of 68.1/100 is above the category average of 62/100.
This positions Ai Portfolio favorably among marketing 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 Ai Portfolio 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, Ai Portfolio'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 Ai Portfolio's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=ai-portfolio&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 Ai Portfolio are strengthening or weakening over time.
Ai Portfolio vs Alternatives
In the marketing category, Ai Portfolio scores 68.1/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Ai Portfolio vs TrendRadar — Trust Score: 68.2/100
- Ai Portfolio vs Resume-Matcher — Trust Score: 66.2/100
- Ai Portfolio vs BlackFriday-GPTs-Prompts — Trust Score: 66.8/100
Key Takeaways
- Ai Portfolio has a Trust Score of 68.1/100 (C) and is not yet Nerq Verified.
- Ai Portfolio shows moderate trust signals. Conduct thorough due diligence before deploying to production environments.
- Among marketing tools, Ai Portfolio 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 Ai Portfolio collect?
Privacy assessment for Ai Portfolio is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Is Ai Portfolio 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: Ai Portfolio Security Report
How we calculated this score
Ai Portfolio's trust score of 68.1/100 (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
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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.