用网络攻防模拟环境加速AI能力验证与落地。
Accelerating AI Development with Cyber Arenas
- 构建动态网络攻防场景测试AI实战表现。
- 在国民警卫队演习中验证了真实环境适应性。
- 适合安全研究与军事AI开发人员参考。
AI研发需高保真测试环境以实现从实验室到实际应用的过渡。网络攻防模拟环境（Cyber Arenas）提供了新契机，可让用户在真实情境中测试新兴AI能力。这些环境需快速集成新功能以达成核心目标。为探索该概念，麻省理工学院/IEEE/亚马逊图挑战赛匿名网络传感器被部署于一次国民警卫队演习中，用于评估AI在复杂网络对抗中的表现。
原文摘要 · Abstract (English)
AI development requires high fidelity testing environments to effectively transition from the laboratory to operations. The flexibility offered by cyber arenas presents a novel opportunity to test new artificial intelligence (AI) capabilities with users. Cyber arenas are designed to expose end-users to real-world situations and must rapidly incorporate evolving capabilities to meet their core objectives. To explore this concept the MIT/IEEE/Amazon Graph Challenge Anonymized Network Sensor was deployed in a cyber arena during a National Guard exercise.
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