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
4 Pith papers cite this work. Polarity classification is still indexing.
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cs.CR 4verdicts
UNVERDICTED 4representative 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.
Fasco uses ARM CCA to run containers as isolated realms with a system realm for services, claiming lower startup latency and overhead than microVM designs while keeping a small TCB.
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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Shielded but Lightweight: Building Practical Confidential Containers with ARM CCA
Fasco uses ARM CCA to run containers as isolated realms with a system realm for services, claiming lower startup latency and overhead than microVM designs while keeping a small TCB.
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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.