About

Armature Research explores the structural challenges of building governed autonomous systems — architectures where machine intelligence operates under human authority, not beside it.

Our research focuses on control plane design, execution gating patterns, authority hierarchies, and the governance frameworks that make autonomous operation safe and auditable.

Research Areas

• Governance models in autonomous systems — How authority flows through layered architectures
• Execution gating and authority layers — Decision boundaries, approval chains, kill switches
• Human-in-the-loop architectures — Meaningful oversight vs. rubber-stamp approval
• Control plane design patterns — Orchestration, scheduling, and resource management
• Fail-closed vs. fail-open system design — Default-deny principles in AI operations
• Auditability and traceability — Making every autonomous decision observable and reversible
• Policy enforcement in distributed systems — Constraint propagation across service boundaries

Methodology

Every article is structured as a research fragment: model-driven, framework-heavy, and built for engineers and architects who design these systems. We prioritize structural analysis over opinion.

Contact

For research inquiries, reach out via the contact information listed on this site.