Abstract
Technical Subtitle: Cross-Platform Execution-Finality, Hardware-Enforced Authorization and Protected Authority Continuity for Autonomous AI and Critical Infrastructure.
Industry Relevance: Apple Intelligence · Google Gemini · Microsoft Azure · OpenAI Agents · Anthropic Claude · NVIDIA BlueField · AWS Bedrock AgentCore · Huawei HarmonyOS · Alibaba Qwen · Tencent Hunyuan · DeepSeek · ByteDance Doubao.
Indian Patent Application No.: 202631127058 — Filed 25 October 2026.
Foundational International Application: PCT/IB2026/055615 — Filed 4 June 2026; published as WO 2026/150382 A2 on 16 July 2026.
As autonomous AI agents increasingly initiate financial transactions, modify cloud infrastructure and control sensitive industrial systems, authentication alone cannot establish whether the exact operation about to execute remains authorized.
This disclosure presents a cross-platform, hardware-assisted execution-finality architecture that separates computational capability from protected authority to produce real-world consequences.
The invention introduces five mechanisms:
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Candidate Act and Non-Effective State: Hold consequential operations before effectuation.
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Protected Authority Continuity: Preserve originating permissions and restrictions across agents, devices, operating systems and clouds.
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Independent Validation: Verify the Actual Pending Operation against current authority and execution conditions.
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Non-Bearer Authorization: Prevent credential reuse or substitution from authorizing different operations.
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Finality Sink Enforcement: Permit consequences only after protected verification.
Critical Infrastructure Focus: Banking, payments, power grids, telecommunications, industrial automation and data centers—not routine AI assistant question-and-answer applications.
Latency and Legacy Integration: Prevalidated evidence, bounded Hot Path verification, protected operation pinning and deadline-aware admission may reduce repeated authorization overhead. Existing APIs, gateways, trusted execution environments and transaction boundaries offer integration opportunities without replacing underlying AI models or operating systems.
Millisecond-class performance and non-bypassability require independent validation.
Central Contribution: AI may compute and propose actions, but independent protected enforcement determines whether the actual consequential operation may become effective.
Public Technical References
Indian Filing: 202631127058 — 25 October 2026.
IETF: draft-das-interoperable-consequence-authority-00 — 26 October 2026.
Zenodo: DOI 10.5281/zenodo.23657985 — 27 October 2026.
Keywords
Execution Finality; Candidate Act; Finality Sink; Actual Pending Operation; Protected Authority Continuity; Hardware-Enforced Authorization; Zero Trust; TOCTOU Prevention; AI Agent Security; Critical Infrastructure Security.
Disclaimer: Product references indicate potential alignment, not adoption or infringement. The invention is human-originated; AI assisted with summarization. Original filings remain authoritative.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License
Recommended Citation
Das, Sangam Kumar, "Beyond the U.S.–China AI Race: Who Controls the Final Execution When Autonomous AI Operates Critical Infrastructure?", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/13017