July 2026Unreviewed
Twin Agent: Context Residual Compression for Privilege Separated Agents
Zhanhao Hu, Dennis Jacob, Xiao Huang, Zhaorun Chen, Bo Li, David Wagner
Abstract
Large language model (LLM) agents are vulnerable to security risks, such as prompt injection attacks from untrusted context that manipulate downstream reasoning and tool use. Existing secure-by-design approaches mitigate this risk by separating untrusted observations from privileged execution and careful control of information flow, but often degrade utility and require extensive task-specific engineering. We thus propose Twin Agent, a general privilege separation design pattern inspired by resi
Categories
Framework mappings
OWASP Top 10 for LLM Applications
- LLM01Prompt Injection
OWASP Top 10 for Agentic Applications
- ASI02Tool Misuse & Exploitation
MITRE ATLAS
- AML.T0051LLM Prompt Injection
- AML.T0053AI Agent Tool Invocation
Suggested from the entry's categories.
Cite
@misc{hu2026twin,
title = {{Twin Agent: Context Residual Compression for Privilege Separated Agents}},
author = {Zhanhao Hu and Dennis Jacob and Xiao Huang and Zhaorun Chen and Bo Li and David Wagner},
year = {2026},
month = jul,
eprint = {2607.19595},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2607.19595}
}