paperSeptember 2026Unreviewed

From Intent to Execution Grant: An Execution-Boundary Conformance Profile for High-Risk AI Actions

Mengting Wu, Lin Wang, Yong Zhang, Jiang Deng

Abstract

AI agents increasingly propose actions with external consequences, including financial transfers, infrastructure changes, software deployments, disclosures, and physical actuation. Authorization engines, policy languages, runtime monitors, provenance mechanisms, and agent guardrails provide important foundations, but do not necessarily define a common semantic contract for the final transition from a particular candidate action to execution authority. We specify EBL-Core, an execution-boundary c

Cite

@misc{wu2026from,
  title = {{From Intent to Execution Grant: An Execution-Boundary Conformance Profile for High-Risk AI Actions}},
  author = {Mengting Wu and Lin Wang and Yong Zhang and Jiang Deng},
  year = {2026},
  month = sep,
  eprint = {2609.11596},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.11596}
}