Technical publications, manuscripts, and architecture notes focused on sovereign execution, contained inference, cyber self-defense, active intrusion response, and compliance-bounded systems. Publications are freely accessible and structured for technical review, research citation, and operational assessment.
Sovereign, Air-Gapped, and Attested AI Inference
A Compliance-First Architecture for Regulated Workloads · Published May 2026
Abstract
Regulated organizations want the utility of modern language models without surrendering control of privileged, protected, export-controlled, or commercially sensitive data. This manuscript presents a security framework for sovereign execution that treats compliance as a runtime property rather than a policy statement applied after the fact. The design combines jurisdiction-aware deployment, a four-tier gateway and inference structure, six independent containment layers, volatile-memory-only session handling, metadata-only audit trails, cryptographic integrity checks, and intent-aware routing across heterogeneous inference engines.
Author
👤
Christian Kearney
Mint Rail LLC
Principal Researcher · AI Security Architecture
📚 Published on Zenodo🔬 DOI: 10.5281/zenodo.20422087📄 PDF Available
A Lawful, Ethical, and Operational Framework for Defensive Deception, Containment, Attribution, and Recovery · Published May 2026
Abstract
This article proposes the Bounded Cyber Self-Defense Model, a vendor-neutral framework for responding to active intrusion while preserving legal authority, ethical legitimacy, evidentiary value, and organizational resilience. The model rejects hack-back and retaliation, instead defining a bounded window of authorized defensive action inside systems the defender owns, administers, or is explicitly authorized to protect.
Author
👤
Christian Kearney
BlackLattice
Cyber Self-Defense · Active Intrusion Response · Defensive Deception
📚 Published on Zenodo🔬 DOI: 10.5281/zenodo.20435793📄 PDF Available
C. Kearney, "Sovereign, Air-Gapped, and Attested AI Inference: A Compliance-First Architecture for Regulated Workloads," Mint Rail LLC, May 2026. doi: 10.5281/zenodo.20422087.
Christian Kearney. 2026. Sovereign, Air-Gapped, and Attested AI Inference: A Compliance-First Architecture for Regulated Workloads. Mint Rail LLC. https://doi.org/10.5281/zenodo.20422087
Kearney, C. (2026). Sovereign, Air-Gapped, and Attested AI Inference: A Compliance-First Architecture for Regulated Workloads. Mint Rail LLC. https://doi.org/10.5281/zenodo.20422087
@misc{kearney2026sovereign,
author = {Kearney, Christian},
title = {Sovereign, Air-Gapped, and Attested AI Inference: A Compliance-First Architecture for Regulated Workloads},
publisher = {Mint Rail LLC},
year = {2026},
month = {may},
doi = {10.5281/zenodo.20422087},
url = {https://blacklattice.ai/research/ai-compliance-2026.html}
}
