AI Observability and LLM Development for Mission-Critical Defense Applications

Date: 03/19/2025

Vendor: Arize AI

Technology/Topic: AI Observability and LLM Development for Mission-Critical Defense Applications

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Welcome to the Technical Exchange Meeting (TEM)!

Arize AI provides advanced observability and monitoring for ML and LLM systems, ensuring the DoD can proactively detect failures, improve reliability, and maintain operational AI integrity. Our platform enables defense teams to identify data drift, explain model decisions, and optimize AI models in real-time, reducing risks and increasing mission success rates.

For LLMs, Arize offers an end-to-end development and monitoring solution, covering dataset preparation, prompt engineering, evaluation, real-time guardrails, and continuous improvement tracking & monitoring. Unlike standard monitoring tools, Arize doesn’t just track AI outputs—it helps teams diagnose root causes and refine models before failures occur. Designed for secure, on-premise deployment, Arize ensures compliance with DoD security standards while supporting fully air-gapped environments.

Arize AI is actively supporting the U.S. Army’s LLM and computer vision (CV) initiatives, ensuring AI-driven defense applications remain transparent, reliable, and mission-ready. Additionally, we are engaged with the U.S. Navy’s Unmanned Underwater Vehicle (UUV) AI initiatives, where our platform helps monitor and improve AI-driven autonomy, perception models, and operational effectiveness in complex environments.

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Disclaimer:

— TEMs do not serve as a marketing venue or request for proposal actions.

— TEMs shall not be interpreted as a commitment by the Government to issue a solicitation or ultimately award a contract.

— TEMs do not serve as an endorsement of any presented technologies or capabilities

— Presentations will not be considered as proposals nor will any awards be made as a result of a TEM session.

— TEMs are public open forums – no proprietary or sensitive information should be presented during TEM sessions. Only publicly facing content is permissible in DISA TEM sessions