
Trust-Aware Orchestration Architecture for LLM-Assisted Workflows in Multi-Tenant Enterprise Systems — Leburu (2026)
Large language models (LLMs) now call tools and APIs in enterprise systems, creating concrete risks: hallucinated parameters, cross-tenant data leakage, and prompt injection. This paper presents an orchestration architecture for multi-tenant deployments where the LLM proposes actions and a deterministic control plane validates and executes them, organized as three hard enforcement gates (authentication and tenant resolution, role-based tool authorization, and schema validation), four advisory filters (input sanitization, retrieval scoping, execution monitoring, output compliance), and…
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