Accelerating AI Development with Cyber Arenas
This addresses the problem of transitioning AI from lab to operations for developers and users, but it appears incremental as it applies an existing method to a new context.
The paper tackled the need for high-fidelity testing environments in AI development by deploying the MIT/IEEE/Amazon Graph Challenge Anonymized Network Sensor in a cyber arena during a National Guard exercise, demonstrating its use to test AI capabilities with users in real-world scenarios.
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.