AI-enabled unmanned systems demonstrator designed with assurance, cybersecurity and auditability by design for regulated operational environments.
A governed autonomous systems architecture demonstrating how AI-enabled modular unmanned platforms can be designed for trust, validation and resilient delivery — not just performance.
The demonstrator treats unmanned systems as engineered socio-technical systems: AI operates under policy constraints and human governance, not as a black box producing unaccountable outputs.
A mothership coordinates multiple deployable sub-vehicles, scaling sensing coverage and tasking flexibility through modular subsystem boundaries and distributed architecture.
The architecture is relevant to organisations that need to evaluate autonomy, edge AI and modular unmanned platforms without abandoning reviewability, accountability or operational governance.
AI is embedded onboard at the edge for perception, routing, task support and anomaly detection — outputs remain logged, bounded and reviewable by human operators.
Mothership and sub-vehicle architecture with modular subsystem boundaries enables rapid reconfiguration, maintainability and lifecycle control across deployment contexts.
Threat-informed design, Zero Trust principles, V&V evidence, configuration baselines and interoperability are integrated as first-class design requirements — not afterthoughts.
The work focuses on architecture, AI systems engineering, cybersecurity and governance. It does not involve weapons, targeting or lethal decision-making.
The architecture shows how AI-enabled unmanned systems can be designed for trust, validation and resilient delivery. The engagement value is in the architectural discipline: every AI decision output is logged, every system boundary is defined and every assurance requirement is traceable.
Discuss how this architecture or methodology applies to your programme, sector or challenge.
