Is Ai Ops Assistent Safe?

Ai Ops Assistent — Nerq Trust Score 57.7/100 (D grade). Based on analysis of 5 trust dimensions, it is has notable safety concerns. Last updated: 2026-03-30.

Use Ai Ops Assistent with some caution. Ai Ops Assistent is a software tool with a Nerq Trust Score of 57.7/100 (D), based on 5 independent data dimensions. It is 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: 2026-03-30. Machine-readable data (JSON).

Is Ai Ops Assistent safe?

CAUTION — Ai Ops Assistent has a Nerq Trust Score of 57.7/100 (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.

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What is Ai Ops Assistent's trust score?

Ai Ops Assistent has a Nerq Trust Score of 57.7/100, earning a D grade. This score is based on 5 independently measured dimensions including security, maintenance, and community adoption.

Security
0
Compliance
100
Maintenance
1
Documentation
1
Popularity
0

What are the key security findings for Ai Ops Assistent?

Ai Ops Assistent'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+.

Security score: 0/100 (weak)
Maintenance: 1/100 — low maintenance activity
Compliance: 100/100 — covers 52 of 52 jurisdictions
Documentation: 1/100 — limited documentation
Popularity: 0/100 — community adoption

What is Ai Ops Assistent and who maintains it?

Authoramirsuhaill
Categorydevops
Sourcehttps://github.com/amirsuhaill/ai_ops_assistent
Frameworksopenai
Protocolsrest

Regulatory Compliance

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

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What Is Ai Ops Assistent?

Ai Ops Assistent is a DevOps tool: Multi-agent AI system for task orchestration and execution.. Nerq Trust Score: 58/100 (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 Ai Ops Assistent's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Ai Ops Assistent performs in each:

The overall Trust Score of 57.7/100 (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 Ai Ops Assistent?

Ai Ops Assistent is designed for:

Risk guidance: Ai Ops Assistent 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 Ops Assistent'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's 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 Ai Ops Assistent's dependency tree.
  3. Review permissions — Understand what access Ai Ops Assistent requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Ai Ops Assistent 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=ai_ops_assistent
  6. Review the license — Confirm that Ai Ops Assistent'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 Ai Ops Assistent

When evaluating whether Ai Ops Assistent is safe, consider these category-specific risks:

Data handling

Understand how Ai Ops Assistent 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 Ai Ops Assistent's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.

Update frequency

Regularly check for updates to Ai Ops Assistent. Security patches and bug fixes are only effective if you're running the latest version.

Third-party integrations

If Ai Ops Assistent 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 Ai Ops Assistent'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 Ops Assistent in violation of its license can expose your organization to legal liability.

Ai Ops Assistent and the EU AI Act

Ai Ops Assistent 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 Ai Ops Assistent Safely

Whether you're an individual developer or an enterprise team, these practices will help you get the most from Ai Ops Assistent while minimizing risk:

Conduct regular audits

Periodically review how Ai Ops Assistent is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.

Keep dependencies updated

Ensure Ai Ops Assistent and all its dependencies are running the latest stable versions to benefit from security patches.

Follow least privilege

Grant Ai Ops Assistent only the minimum permissions it needs to function. Avoid granting admin or root access.

Monitor for security advisories

Subscribe to Ai Ops Assistent'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 Ai Ops Assistent is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Ai Ops Assistent?

Even promising tools aren't right for every situation. Consider avoiding Ai Ops Assistent in these scenarios:

For each scenario, evaluate whether Ai Ops Assistent's trust score of 57.7/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.

How Ai Ops Assistent Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among DevOps tools, the average Trust Score is 63/100. Ai Ops Assistent's score of 57.7/100 is near the category average of 63/100.

This places Ai Ops Assistent in line with the typical DevOps 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 Ai Ops Assistent 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 Ops Assistent'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 Ops Assistent's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=ai_ops_assistent&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 Ops Assistent are strengthening or weakening over time.

Ai Ops Assistent vs Alternatives

In the devops category, Ai Ops Assistent scores 57.7/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Key Takeaways

Frequently Asked Questions

Is Ai Ops Assistent safe to use?
Use with some caution. ai_ops_assistent has a Nerq Trust Score of 57.7/100 (D). Strongest signal: compliance (100/100). Score based on security (0/100), maintenance (1/100), popularity (0/100), documentation (1/100).
What is Ai Ops Assistent's trust score?
ai_ops_assistent: 57.7/100 (D). Score based on: security (0/100), maintenance (1/100), popularity (0/100), documentation (1/100). Compliance: 100/100. Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=ai_ops_assistent
What are safer alternatives to Ai Ops Assistent?
In the devops category, higher-rated alternatives include ansible/ansible (84/100), FlowiseAI/Flowise (77/100), shareAI-lab/learn-claude-code (82/100). ai_ops_assistent scores 57.7/100.
How often is Ai Ops Assistent's safety score updated?
Nerq continuously monitors Ai Ops Assistent and updates its trust score as new data becomes available. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Current: 57.7/100 (D), last verified 2026-03-30. API: GET nerq.ai/v1/preflight?target=ai_ops_assistent
Can I use Ai Ops Assistent in a regulated environment?
Ai Ops Assistent has not reached the Nerq Verified threshold of 70. Additional due diligence is recommended for regulated environments.
API: /v1/preflight Trust Badge API Docs

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