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Rohith Uppala

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#artificial intelligence May 2026

Prompts Don't Protect: Architectural Enforcement via MCP Proxy for LLM Tool Access Control

This work identifies a critical gap: when unauthorized tools are visible in an agent's context, models select them in 48-68% of adversarial scenarios, even when explicitly instructed not to, and proposes a proxy-enforced attribute-based access control layer for MCP that filters tool registries at discovery time.

Rohith Uppala · arXiv.org · 1 citation