# findings
標記為「findings」的 14 篇文章
Execution and Reporting
How to execute an AI red teaming engagement and deliver professional findings, including evidence collection, statistical reporting, and remediation guidance.
AI Red Team Report Writing
Writing AI red team reports: executive summaries, finding templates, AI-adapted risk ratings, remediation recommendations, and common mistakes to avoid.
Red Team Findings → Remediation
How to map offensive findings to defensive recommendations, severity scoring for AI vulnerabilities, actionable remediation guidance, and the report-to-fix pipeline.
Communicating AI Security Findings to Clients
Strategies for effectively presenting AI security findings to technical and non-technical audiences.
Technical Findings Documentation
How to document AI-specific vulnerabilities: reproduction steps, severity assessment with AI-adapted frameworks, remediation recommendations, and finding templates.
Attack Execution Workflow
Step-by-step workflow for executing AI red team attacks: selecting techniques from recon findings, building attack chains, documenting findings in real-time, managing evidence, and knowing when to escalate or stop.
Report Writing Walkthrough
Step-by-step guide to writing AI red team reports: structure, executive summary, technical findings, risk ratings, remediation recommendations, peer review, and delivery.
執行與報告
如何執行 AI 紅隊委任並交付專業發現，包括證據蒐集、統計回報，以及修復指引。
AI 紅隊報告寫作
撰寫 AI 紅隊報告：執行摘要、發現範本、AI 適配風險評級、補救建議，與要避免之常見錯誤。
紅隊發現 → 修復建議
如何將攻擊端發現對應到防禦建議、AI 漏洞的嚴重性評分、可執行的修復指引，以及「報告到修復」的完整流程。
Communicating AI 安全 Findings to Clients
Strategies for effectively presenting AI security findings to technical and non-technical audiences.
技術發現文件
如何記錄 AI 特定漏洞：重現步驟、使用適用於 AI 的嚴重性框架進行評估、修復建議，以及發現範本。
攻擊執行工作流程
執行 AI 紅隊攻擊之逐步工作流程：自偵察發現選擇技術、打造攻擊鏈、即時記錄發現、管理證據，與知曉何時升級或停止。
報告撰寫實戰演練
撰寫 AI 紅隊報告之逐步指引：結構、執行摘要、技術發現、風險評級、修復建議、同儕審查與交付。