In the evolving landscape of artificial intelligence (AI) and data-driven systems, the risk of classified information theft and unauthorized access poses a severe threat. As organizations transition to increasingly automated and interconnected systems, the potential for malicious actors to exploit vulnerabilities and gain unauthorized access to sensitive data increases significantly.

The crux of the problem lies in the lack of robust control mechanisms and monitoring systems to govern data rights and information flow once data has been shared or disseminated within these systems. Without proper safeguards, classified or proprietary information can be compromised, leading to severe breaches of security and potential misuse by adversaries or rogue elements within the system itself.