Challenges of operating AI in closed defense networks
The national defense needed an environment for seamless retraining and redeployment of AI models to military experts without specialized AI skills. This required a robust, closed-network system to integrate diverse AI environments across defense institutes while ensuring strict confidentiality of sensitive military data.
AI platform enabling data security and automated retraining for defense
Data security was ensured by operating within a closed network with limited external communication. The AI platform supported cloud, on-premises, and hybrid environments, offering flexibility in deployment. Key features included AutoML for optimization in military operations, auto annotation for real-time anomaly detection, and EdgeOps for customized AI model deployment on various military systems, all accessible through an intuitive GUI designed for non-experts.
Facilitating rapid deployment and use of defense AI
The system enabled rapid deployment and integration of defense-specific AI applications across various settings, including manned-unmanned teaming(MUM-T), military logistics, cyber breach detection, and large language models(LLMs) for military operations. This made AI utilization cost-effective and straightforward for both technical personnel and military experts, enhancing adaptability and mission success.
