Is Assistops Ai Operations Assistant Safe?

Assistops Ai Operations Assistant — Nerq Trust Score 48.7/100 (D grade). Score based on 5 independent trust signals.

Assistops Ai Operations Assistant is a software tool with a Nerq Trust Score of 48.7/100 (D), based on 5 independent data dimensions. 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: n/a. Machine-readable data (JSON).

Is Assistops Ai Operations Assistant safe?

Trust Score Breakdown — Assistops Ai Operations Assistant has a Nerq Trust Score of 48.7/100 (D). Measured across 5 independent trust signals.

Security Analysis → Assistops Ai Operations Assistant Privacy Report →

What is Assistops Ai Operations Assistant's trust score?

Assistops Ai Operations Assistant has a Nerq Trust Score of 48.7/100, earning a D grade. This score is based on 5 independently measured dimensions including security, maintenance, and community adoption.

Security
0
Compliance
87
Maintenance
1
Documentation
1
Popularity
0

What are the key security findings for Assistops Ai Operations Assistant?

Assistops Ai Operations Assistant's strongest signal is compliance at 87/100. No known vulnerabilities have been detected.

Security score: 0/100 (weak)
Maintenance: 1/100 — low maintenance activity
Compliance: 87/100 — covers 45 of 52 jurisdictions
Documentation: 1/100 — limited documentation
Popularity: 0/100 — community adoption

What is Assistops Ai Operations Assistant and who maintains it?

AuthorAnand001122
CategoryDevops
Sourcehttps://github.com/Anand001122/AssistOps-AI-Operations-Assistant
Protocolsrest

Regulatory Compliance

EU AI Act Risk ClassMINIMAL
Compliance Score87/100
JurisdictionsAssessed across 52 jurisdictions

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What Is Assistops Ai Operations Assistant?

Assistops Ai Operations Assistant is a DevOps tool: A high-trust AI Operations Assistant with planner, executor, and verifier agents.. Nerq Trust Score: 49/100 (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 Assistops Ai Operations Assistant's Safety

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

The overall Trust Score of 48.7/100 (D) is the weighted combination of these measured signals. It is a measurement, not a pass/fail or suitability judgment — weigh the individual signals against your own requirements.

Who Typically Evaluates Assistops Ai Operations Assistant?

Assistops Ai Operations Assistant is commonly evaluated by:

How to read the signals: Assistops Ai Operations Assistant's measured signals (security 0/100, maintenance 1/100, documentation 1/100, community 0/100) are shown above. These are measurements, not a suitability judgment — weigh each signal against the requirements of your own use case and risk tolerance.

How to Verify Assistops Ai Operations Assistant'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 Assistops Ai Operations Assistant's dependency tree.
  3. Review permissions — Understand what access Assistops Ai Operations Assistant requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Assistops Ai Operations Assistant 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=AssistOps-AI-Operations-Assistant
  6. Review the license — Confirm that Assistops Ai Operations Assistant'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 Assistops Ai Operations Assistant

When evaluating whether Assistops Ai Operations Assistant is safe, consider these category-specific risks:

Data handling

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

Update frequency

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

Third-party integrations

If Assistops Ai Operations Assistant 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 Assistops Ai Operations Assistant's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Assistops Ai Operations Assistant in violation of its license can expose your organization to legal liability.

Assistops Ai Operations Assistant and the EU AI Act

Assistops Ai Operations Assistant 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 Assistops Ai Operations Assistant Safely

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

Conduct regular audits

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

Keep dependencies updated

Ensure Assistops Ai Operations Assistant and all its dependencies are running the latest stable versions to benefit from security patches.

Follow least privilege

Grant Assistops Ai Operations Assistant only the minimum permissions it needs to function. Avoid granting admin or root access.

Monitor for security advisories

Subscribe to Assistops Ai Operations Assistant'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 Assistops Ai Operations Assistant is used within your organization, including data handling guidelines and acceptable use cases.

Situations That Warrant Independent Review of Assistops Ai Operations Assistant

Nerq's signals are one input. In the following situations, evaluate Assistops Ai Operations Assistant's measured signals against your own requirements before making a decision:

For each situation, compare Assistops Ai Operations Assistant's measured trust score of 48.7/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Assistops Ai Operations Assistant is suitable for any particular use.

How Assistops Ai Operations Assistant 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. Assistops Ai Operations Assistant's score of 48.7/100 is below the category average of 63/100.

This suggests that Assistops Ai Operations Assistant trails behind many comparable DevOps tools. Organizations with strict security requirements should evaluate whether higher-scoring alternatives better meet their needs.

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 Assistops Ai Operations Assistant 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, Assistops Ai Operations Assistant'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 Assistops Ai Operations Assistant's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=AssistOps-AI-Operations-Assistant&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 Assistops Ai Operations Assistant are strengthening or weakening over time.

Assistops Ai Operations Assistant vs Alternatives

In the devops category, Assistops Ai Operations Assistant scores 48.7/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Key Takeaways

Frequently Asked Questions

Is Assistops Ai Operations Assistant Safe?
AssistOps-AI-Operations-Assistant with a Nerq Trust Score of 48.7/100 (D). Strongest signal: compliance (87/100). Score based on Security (0/100), Maintenance (1/100), Popularity (0/100), Documentation (1/100).
What is Assistops Ai Operations Assistant's trust score?
AssistOps-AI-Operations-Assistant: 48.7/100 (D). Score based on Security (0/100), Maintenance (1/100), Popularity (0/100), Documentation (1/100). Compliance: 87/100. Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=AssistOps-AI-Operations-Assistant
What are safer alternatives to Assistops Ai Operations Assistant?
In the Devops category, higher-rated alternatives include ansible/ansible (75/100), FlowiseAI/Flowise (68/100), shareAI-lab/learn-claude-code (76/100). AssistOps-AI-Operations-Assistant scores 48.7/100.
How often is Assistops Ai Operations Assistant's safety score updated?
Nerq recomputes Assistops Ai Operations Assistant's trust score as new data becomes available. Current: 48.7/100 (D). API: GET nerq.ai/v1/preflight?target=AssistOps-AI-Operations-Assistant
Can I use Assistops Ai Operations Assistant in a regulated environment?
Assistops Ai Operations Assistant: 48.7/100 (D). Compliance: 45 of 52 jurisdictions. EU AI Act compliant. Evaluate against your own regulatory requirements.
API: /v1/preflight Trust Badge API Docs

See Also

Disclaimer: Nerq trust scores are automated measurements based on publicly available signals. They are not endorsements, verdicts, or guarantees of suitability. Always evaluate the signals against your own requirements.

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