TrustWeave: Integrity Measurement and Attestation For Multi-Cloud LLMs
Jianchang Su, Wenhui Zhang, Yifan Zhang, Kexin Chu, Hao Guo, Youyou Lu, Wei Zhang
摘要
Multi-cloud deployed multi-agent systems powered by Large Language Models (LLMs) introduce critical security challenges. While Intel Trust Domain Extensions (TDX)-based Confidential Virtual Machines (CVMs) provide strong isolation and boot-time attestation, they lack dynamic runtime integrity verification, a capability essential for trusted agent systems that frequently load new models and coordinate across distributed services. We present TrustWeave, a runtime integrity measurement and attestation framework that extends the Linux Integrity Measurement Architecture (IMA) with support for Intel TDX's Runtime Measurement Registers (RTMRs). TrustWeave enables userspace attestation of dynamically loaded agent components throughout their life-cycle, providing runtime trust guarantees for secure and scalable LLM agent deployments.
问问这篇 Paper
问问你的智能体。
Lune 读过与它相关的顶会 Paper,每个回答都会注明依据哪几篇。
相关 Paper
- TETD: Trusted Execution in Trust DomainsZhanbo Wang, Jiaxin Zhan, Xuhua Ding, Fengwei Zhang 等USENIX Security 2025
- DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM AgentsHao Li, Xiaogeng Liu, Hung-Chun Chiu, Dianqi Li 等NeurIPS 2025 · 被引用 76 次
- Trusting What You Cannot See: Auditable Fine-Tuning and Inference for Proprietary AIHeng Jin, Chaoyu Zhang, Hexuan Yu, Shanghao Shi 等USENIX Security 2026 · 被引用 4 次
- MAGE: Mutual Attestation for a Group of Enclaves without Trusted Third PartiesGuoxing Chen, Yinqian ZhangUSENIX Security 2022
- TDXRay: Microarchitectural Side-Channel Analysis of Intel TDX for Real-World WorkloadsTristan Hornetz, Hosein Yavarzadeh, Albert Cheu, Adrià Gascón 等S&P 2026 · 被引用 5 次
