📄 中文摘要
企业正在迅速部署大语言模型、增强检索生成管道和使用代理的工具，通常在共享的高性能计算集群和云加速平台上运行，这些平台还支持防御性分析。这些系统越来越多地作为AI资产运作，形成跨越模型、代理、数据管道、安全工具、人类工作流程和超大规模基础设施的社会技术系统。现有的治理和安全框架，如NIST AI风险管理框架和系统安全工程指导，阐明了原则和风险功能，但未提供可实施的多智能体、AI驱动的网络防御架构。
PBSAI治理生态系统：用于保护企业AI资产的多智能体AI参考架构
📄 English Summary
The PBSAI Governance Ecosystem: A Multi-Agent AI Reference Architecture for Securing Enterprise AI Estates
Enterprises are rapidly deploying large language models, retrieval-augmented generation pipelines, and tool-using agents into production, often on shared high-performance computing clusters and cloud accelerator platforms that also support defensive analytics. These systems increasingly operate not as isolated models but as AI estates, which are socio-technical systems encompassing models, agents, data pipelines, security tooling, human workflows, and hyperscale infrastructure. Existing governance and security frameworks, including the NIST AI Risk Management Framework and systems security engineering guidance, articulate principles and risk functions but do not provide implementable architectures for multi-agent, AI-enabled cyber defense.