TEE Nodes
TEE Nodes are specialized components within the Data AI network that leverage Trusted Execution Environments (TEEs) to securely process sensitive data. They ensure that computations are isolated and protected from external interference, maintaining data confidentiality and integrity.
Key Functions of TEE Nodes:
Hosting Data Connectors: TEE Nodes run Data Connectors, which are responsible for securely fetching and processing user data within the TEE, ensuring privacy-preserving data handling. citeturn0search2
Private LLM Inference: They perform private Large Language Model (LLM) inference, enabling AI computations to occur securely on-device without exposing sensitive information. citeturn0search8
TEE Device Verification:
To maintain trust within the network, TEE devices undergo a verification process that includes remote attestation. This process ensures that the TEE is running untampered code, providing hardware-level security assurances. Verification details are recorded on-chain, promoting transparency and auditability. citeturn0search0
Task Validation and Accountability:
TEE Nodes are accountable for the tasks they perform. They submit proof of task execution to the PIN Network Validators, who verify the correctness of the tasks. Failure to meet validation standards results in penalties, such as slashing a portion of the node's staked funds, ensuring that operators are incentivized to maintain high performance and adhere to protocol rules. citeturn0search6
By integrating TEE Nodes, Data AI enhances data security and trust within its ecosystem, enabling users to interact with AI services confidently, knowing their data is handled securely and transparently.
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