# chain-of-custody
標記為「chain-of-custody」的 12 篇文章
Chain of Custody for AI Evidence
Establishing and maintaining chain of custody for AI system evidence including model snapshots, interaction logs, and configuration records.
Evidence Collection for AI Incidents
Evidence collection and chain of custody procedures for AI security incident investigations.
AI Evidence Preservation
Preserving forensic evidence from AI security incidents: model state snapshots, conversation and interaction preservation, embedding database captures, and chain-of-custody for AI-specific artifacts.
Evidence Collection & Chain of Custody
How to collect and preserve evidence during AI red team engagements: screenshots, API logs, reproducibility requirements, and chain-of-custody procedures.
Evidence Collection & Chain of Custody (Tradecraft)
Standards for capturing, preserving, and documenting AI red team findings: conversation logs, API traces, bypass rate measurement, and evidence packaging for reproducible reporting.
Evidence Collection and Documentation Best Practices
Walkthrough for systematic evidence collection during AI red team engagements, covering request/response capture, screenshot methodology, chain-of-custody documentation, reproducibility requirements, and evidence organization for reports.
Chain of Custody for AI Evidence
Establishing and maintaining chain of custody for AI system evidence including model snapshots, interaction logs, and configuration records.
Evidence Collection for AI Incidents
Evidence collection and chain of custody procedures for AI security incident investigations.
AI 證據保存
自 AI 安全事件保存鑑識證據：模型狀態快照、對話與互動保存、embedding 資料庫捕獲，與為 AI 特定產物之監管鏈。
證據蒐集與保管鏈
在 AI 紅隊委任期間如何蒐集並保存證據：截圖、API 日誌、可重現性要求，以及保管鏈程序。
Evidence Collection & Chain of Custody (Tradecraft)
Standards for capturing, preserving, and documenting AI red team findings: conversation logs, API traces, bypass rate measurement, and evidence packaging for reproducible reporting.
Evidence Collection and Documentation Best Practices
導覽 for systematic evidence collection during AI red team engagements, covering request/response capture, screenshot methodology, chain-of-custody documentation, reproducibility requirements, and evidence organization for reports.