A Minimal Common Assurance Architecture for Stateful AI Systems
This Technical Note proposes a minimal common assurance architecture for stateful AI systems. The proposal does not replace existing security practices or introduce a new security standard. Instead, it asks whether existing and future defensive mechanisms may become easier to connect, inspect, extend, replace, and evaluate if several assurance relationships are made explicit within a shared architectural skeleton. The architecture highlights evidence provenance and independence, AI-to-AI auditing, authorization and delegation, recovery validation, and human auditability. It is presented as a provisional framing for discussion, testing, criticism, modification, extension, simplification, or rejection where appropriate.
Authors
- Tetsuya Hiraku
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-09-30
- DOI
- https://doi.org/10.5281/zenodo.23061143
- Primary Topic
- Adversarial Robustness in Machine Learning
- Type
- article
- Field-Weighted Citation Impact
- 0.00