Analysis
Prompt Injection at the Tool Boundary: Sanitizing LLM-Driven Function Calls in Go Microservices
First reported · Discovered neerajsinghi.com
Page published
Earliest dated coverage: 22 Oct 2026 · First observed: 1 Nov 2026 · Latest dated coverage: 22 Oct 2026
Coverage timeline
Single-source analysis — one report is available.
Why it matters
LLM tool-dispatch boundaries need deterministic authorization and validation because attacker-controlled context can otherwise turn model-generated calls into unauthorized downstream actions.
The article explains how indirect prompt injection through retrieved documents, cache contents, and tool responses can influence LLM-generated function calls in Go microservices. It recommends enforcing tool allowlists, authorization policies, and argument validation at the orchestrator's dispatch boundary rather than relying on model alignment.