Trusted Execution Environments (TEEs)

Ensuring secure, confidential, and verifiable task execution

Many high-value AI tasks involve private, regulated, or mission-critical data that cannot be publicly processed. To solve this, Met.AI integrates Trusted Execution Environments (TEEs)—hardware-based secure enclaves that isolate both code and data during execution.

Key capabilities of TEEs in Met.AI:

• Data confidentiality：Input data remains protected during processing, even from node operators.

• Code integrity：AI logic cannot be modified or influenced during runtime by malicious infrastructure.

• Verifiable outputs：Tasks completed within TEEs produce cryptographic attestations, proving they were executed as defined.

When a task requires confidentiality—such as processing personal financial records, medical data, or unreleased product content—it is automatically routed to a TEE-compatible execution node. These nodes interact with the blockchain to report execution proofs and return signed outputs, which users and third parties can verify independently.

TEEs bridge the trust gap between off-chain compute and on-chain guarantees, allowing Met.AI to support enterprise-grade AI services without sacrificing decentralization.