Abstract
Systems for managing data sovereignty can present challenges in governing autonomous artificial intelligence agents, particularly regarding downstream network calls that agents may generate dynamically. This situation can introduce data residency compliance challenges. A described system can attach a portable, cryptographically signed policy token to a data processing request. This token, which may be derived from a residency profile, can specify a geographical or jurisdictional boundary for data processing. Enforcement middleware within an execution environment, such as a cloud computing platform or a containerized environment, can intercept an agent’s outbound network calls and check the destination against the policy contained within the token. This approach can provide a mechanism to help manage data residency constraints throughout an agent's execution lifecycle, including for dynamically generated operations.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Start, Johannes and Lunney, John, "Geographically Constrained AI Agent Execution via Signed Policy Tokens", Technical Disclosure Commons, (January 28, 2026)
https://www.tdcommons.org/dpubs_series/9232