Rand兰德：2026年AI安全保障研究报告：算法洞察（英文版）

This report extends the framework from the RAND report Securing AI Model Weights to address the challenge of protecting algorithmic insights—that is, the techniques and design know-how that drive artificial intelligence (AI) progress.1 Unlike model weights, which can be centralized and secured, insights are distributed across code, documentation, communications, and human expertise, making them far harder to contain. Using expert engagements, a targeted literature review, and a gap analysis,