AgenTEE isolates LLM agent runtime, inference, and apps in independently attested cVMs on Arm-based edge devices, achieving under 5.15% overhead versus commodity OS deployments.
OpenCCA: An open framework to enable ARM CCA research
3 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 3representative citing papers
CAEC adds confidential shared memory to Arm CCA, cutting inter-CVM communication cost by up to 209x versus encryption through hypervisor-visible memory while preserving isolation and adding attestable sharing.
A survey providing a taxonomy of TEE platforms, an agent-centric threat model, and open challenges for applying confidential computing to secure agentic AI systems.
citing papers explorer
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AgenTEE: Confidential LLM Agent Execution on Edge Devices
AgenTEE isolates LLM agent runtime, inference, and apps in independently attested cVMs on Arm-based edge devices, achieving under 5.15% overhead versus commodity OS deployments.
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CAEC: Confidential, Attestable, and Efficient Inter-CVM Communication with Arm CCA
CAEC adds confidential shared memory to Arm CCA, cutting inter-CVM communication cost by up to 209x versus encryption through hypervisor-visible memory while preserving isolation and adding attestable sharing.
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When Agents Handle Secrets: A Survey of Confidential Computing for Agentic AI
A survey providing a taxonomy of TEE platforms, an agent-centric threat model, and open challenges for applying confidential computing to secure agentic AI systems.