DebugScout implements a nine-stage secure AI-assisted debugging workflow for AUTOSAR embedded systems, combining n8n cloud orchestration, local Python processing, and controlled LLM analysis with human-in-the-loop validation. Runtime logs flow through pre-AI security gateways, structured evidence conversion, and post-LLM validation checkpoints before reaching the debugging engineer. This architecture prioritizes data minimization, explainability, and human accountability—critical for automotive safety and EU AI Act compliance. Fork this diagram on Diagrams.so to customize security gates, add provider-specific integrations, or adapt the workflow for your embedded debugging pipeline. The design demonstrates security-by-design principles: every AI decision remains advisory, every output is validated, and governance touchpoints ensure traceability.