Architecting Trusted Data for AI in National Security Missions

AI is changing how data is ingested, connected and delivered across national security environments. However, as adoption accelerates, a new challenge is emerging: AI is not just a data problem, it’s a cross-trust domain data problem.  

In government, defense and intelligence systems, data must move securely across classification levels, environments and mission partners, without introducing latency or compromising trust. This webinar provides a practical, architectural-level look at how organizations are securing the data behind AI to enable real-time, mission critical decision-making. 

We’ll explore four critical areas of secure AI deployment:

• Securely ingesting data from multiple sources
• Delivering data across domains and environments
• Enforcing control, policy and data integrity
• Monitoring, auditing and maintaining trust in data flows