حوكمة فرز الثغرات بمساعدة الذكاء الاصطناعي عبر إعدادات ثابتة

المصطلحات التقنية

ملف التوجيه

تعليمات ثابتة يحمّلها مساعد الذكاء الاصطناعي لتوجيه أسلوب التحليل داخل مستودع العمل.

فرز قائم على الدليل

أسلوب مراجعة يشترط وجود مؤشرات تحقق محددة قبل اعتماد النتيجة.

تحديد الأولوية بحسب السياق

ترتيب المخاطر مع مراعاة ضوابط التشغيل وبيئة النشر بدلاً من النظر إلى الكود بمعزل عنها.

Source facts referenced from Amazon Web Services: https://aws.amazon.com/blogs/security/configuring-your-ai-vulnerability-harness-part-2-the-steering-file. This article is an original Kenzie synthesis and does not reproduce the source article.

Verified source facts used: the publisher is Amazon Web Services; the official source URL is supplied; the title concerns configuring an AI vulnerability harness using a steering file; the summary describes persistent repository instructions for AI coding assistants, evidence-based vulnerability triage, structural verification, confidence handling, and infrastructure-aware prioritization. Evidence limits: only the RSS title and supplied summary were treated as verified; the full blog, repository contents, formulas, mappings, examples, dates beyond the supplied publication timestamp, and implementation details were not independently reviewed. Claims deliberately not made: this brief does not assert that the method eliminates hallucinations, proves vulnerability accuracy, satisfies compliance duties, applies to Saudi or GCC environments, or provides legal assurance. Independent decision reasoning added: the article frames the supplied facts as enterprise evaluation criteria around auditability, repeatability, and the distinction between exploratory assistance and engineering decision support. Automated copyright score: 0. Source-overlap ratio: 0.0045. Longest source match: 11 words. Rights basis: trusted syndicated RSS metadata used only for factual, attributed synthesis.