Atlassian Dcは安全ですか?

Atlassian Dc — Nerq Trust Score 46.5/100 (Dグレード). スコアの基準: 3 independent trust signals.

Atlassian Dc はsoftware toolです Nerq信頼スコア46.5/100(D), 3つの独立したデータ次元に基づく. メンテナンス: 0/100. 人気度: 0/100. データソース: パッケージレジストリ、GitHub、NVD、OSV.dev、OpenSSF Scorecardを含む複数の公開ソース. 最終更新: n/a. 機械可読データ(JSON).

Atlassian Dcは安全ですか?

信頼スコアの内訳 — Atlassian Dc has a Nerq Trust Score of 46.5/100 (D). Measured across 3 independent trust signals.

セキュリティ分析 → プライバシーレポート →

Atlassian Dcの信頼スコアは?

Atlassian DcのNerq信頼スコアは46.5/100で、Dグレードです。このスコアはセキュリティ、メンテナンス、コミュニティ採用を含む3の独立した次元に基づいています。

メンテナンス
0
ドキュメント
0
人気度
0

Atlassian Dcの主なセキュリティ調査結果は?

Atlassian Dcの最も強いシグナルはメンテナンスで0/100です。 既知の脆弱性は検出されていません。

⚠メンテナンス: 0/100 — メンテナンス活動が低い
⚠ドキュメント: 0/100 — 限定的な文書化
⚠人気度: 0/100 — 53 スター( pulsemcp

Atlassian Dcとは何で、誰が管理していますか?

作者https://github.com/b1ff/atlassian-dc-mcp
カテゴリインフラストラクチャ
Stars53
Sourcehttps://github.com/b1ff/atlassian-dc-mcp

infrastructureの人気の代替品

n8n-io/n8n
69.1/100 · C
github
langflow-ai/langflow
77.0/100 · B
github
langgenius/dify
69.7/100 · C
github
open-webui/open-webui
60.4/100 · C
github
google-gemini/gemini-cli
56.2/100 · D
github

What Is Atlassian Dc?

Atlassian Dc is a software tool in the infrastructure category: MCP server for Atlassian Jira Data Center - search, view, and create issues. It has 53 GitHubスター. Nerq Trust Score: 46/100 (D).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including セキュリティ vulnerabilities, メンテナンス activity, license コンプライアンス, and コミュニティでの採用.

How Nerq Assesses Atlassian Dc's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five 次元. Here is how Atlassian Dc performs in each:

The overall Trust Score of 46.5/100 (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 Atlassian Dc?

Atlassian Dc is commonly evaluated by:

How to read the signals: Atlassian Dc's measured signals (メンテナンス 0/100, ドキュメント 0/100, 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 Atlassian Dc's Safety Yourself

While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:

  1. Check the source code — 確認してください repository セキュリティ policy, open issues, and recent commits for signs of active メンテナンス.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Atlassian Dc's dependency tree.
  3. レビュー permissions — Understand what access Atlassian Dc requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Atlassian Dc 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=Atlassian DC
  6. 確認してください license — Confirm that Atlassian Dc'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 セキュリティ concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Atlassian Dc

When evaluating whether Atlassian Dc is safe, consider these category-specific risks:

Data handling

Understand how Atlassian Dc processes, stores, and transmits your data. 確認してください tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency セキュリティ

Check Atlassian Dc's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher セキュリティ risk.

Update frequency

Regularly check for updates to Atlassian Dc. セキュリティ patches and bug fixes are only effective if you're running the latest version.

Third-party integrations

If Atlassian Dc 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 コンプライアンス

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

Best Practices for Using Atlassian Dc Safely

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

Conduct regular audits

Periodically review how Atlassian Dc is used in your workflow. Check for unexpected behavior, permissions drift, and コンプライアンス with your セキュリティ policies.

Keep dependencies updated

Ensure Atlassian Dc and all its dependencies are running the latest stable versions to benefit from セキュリティ patches.

Follow least privilege

Grant Atlassian Dc only the minimum permissions it needs to function. Avoid granting admin or root access.

Monitor for セキュリティ advisories

Subscribe to Atlassian Dc's セキュリティ 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 Atlassian Dc is used within your organization, including data handling guidelines and acceptable use cases.

Situations That Warrant Independent Review of Atlassian Dc

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

For each situation, compare Atlassian Dc's measured trust score of 46.5/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Atlassian Dc is suitable for any particular use.

How Atlassian Dc Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among infrastructure tools, the average Trust Score is 62/100. Atlassian Dc's score of 46.5/100 is below the category average of 62/100.

This suggests that Atlassian Dc trails behind many comparable infrastructure tools. Organizations with strict セキュリティ 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 中程度 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 Atlassian Dc 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 メンテナンス patterns change, Atlassian Dc'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 セキュリティ and quality. Conversely, a downward trend may signal reduced メンテナンス, growing technical debt, or unresolved vulnerabilities. To track Atlassian Dc's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=Atlassian DC&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 — セキュリティ, メンテナンス, ドキュメント, コンプライアンス, and community — has evolved independently, providing granular visibility into which aspects of Atlassian Dc are strengthening or weakening over time.

Atlassian Dc vs 代替品

In the infrastructure category, Atlassian Dc scores 46.5/100. There are higher-scoring alternatives available. For a detailed comparison, see:

重要なポイント

よくある質問

Atlassian Dcは安全ですか?
Atlassian DC Nerq信頼スコア46.5/100(D). 最も強いシグナル: メンテナンス (0/100). スコアの基準: メンテナンス (0/100), 人気度 (0/100), ドキュメント (0/100).
Atlassian Dcの信頼スコアは?
Atlassian DC: 46.5/100 (D). スコアの基準: メンテナンス (0/100), 人気度 (0/100), ドキュメント (0/100). 新しいデータが利用可能になるとスコアが更新さ���ます. API: GET nerq.ai/v1/preflight?target=Atlassian DC
Atlassian Dcのより安全な代替は何ですか?
インフラストラクチャカテゴリでは、 higher-rated alternatives include n8n-io/n8n (69/100), langflow-ai/langflow (77/100), langgenius/dify (70/100). Atlassian DC scores 46.5/100.
Atlassian Dcの安全性スコアはどのくらいの頻度で更新されますか?
Nerq recomputes Atlassian Dc's trust score as new data becomes available. Current: 46.5/100 (D). API: GET nerq.ai/v1/preflight?target=Atlassian DC
規制環境でAtlassian Dcを使用できますか?
Atlassian Dc: 46.5/100 (D). Compliance signals are shown in the breakdown above. Evaluate against your own regulatory requirements.
API: /v1/preflight Trust Badge API Docs

関連項目

Disclaimer: Nerqの信頼スコアは、公開されている情報に基づく自動評価です。推奨や保証ではありません。必ずご自身でも確認してください。

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