3D Guard-Layer: An Integrated Agentic AI Safety System for Edge Artificial Intelligence
Eren Kurshan, Yuan Xie, Paul Franzon
近年来,人工智能系统发现了广泛的现实世界应用。 边缘人工智能的采用,将人工智能直接嵌入边缘设备,正在迅速增长。 尽管实施了护栏和安全机制,但安全漏洞和挑战在这一领域日益普遍,对人工智能系统的实际部署和安全构成了重大障碍。 本文提出了一种代理AI安全架构,利用3D集成专用安全层。 它引入了一个自适应的AI安全基础设施,能够动态学习和减轻对AI系统的攻击。 该系统利用与边缘计算硬件共处的固有优势,持续监控、检测和主动减轻对人工智能系统的威胁。 本地处理和学习能力的集成增强了抵御新兴网络攻击的弹性,同时提高了系统可靠性、模块化和性能,所有这些都具有最低的成本和3D集成开销。
AI systems have found a wide range of real-world applications in recent years. The adoption of edge artificial intelligence, embedding AI directly into edge devices, is rapidly growing. Despite the implementation of guardrails and safety mechanisms, security vulnerabilities and challenges have become increasingly prevalent in this domain, posing a significant barrier to the practical deployment and safety of AI systems. This paper proposes an agentic AI safety architecture that leverages 3D to i...