Overview

Trusted Execution Environments (TEEs) are secure, isolated environments that run on hardware-level separation from the main operating system. Gateway’s platform leverages TEEs to enable privacy-preserving computation, particularly for AI workloads that require both high performance and strong security guarantees.

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Supported Platforms

Gateway’s TEE implementation currently supports:

• AWS Nitro Enclaves (Primary)
• Intel SGX (Planned - Q1 2025)
• AMD EPYC SEV (Planned - Q1 2025)

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Use Cases

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AI Model Privacy

1. Private Inference

   • Run proprietary AI models in isolated environments
   • Process sensitive user data without exposure
   • Ensure model weights remain confidential
   • Enable secure API access to model capabilities

2. Secure Training

   • Train models on sensitive datasets
   • Federated learning coordination
   • Multi-party computation for model updates
   • Privacy-preserving gradient aggregation

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Data Processing

1. Sensitive Data Analytics

   • Process PII and regulated data
   • Perform computations on encrypted data
   • Generate aggregated insights
   • Maintain data sovereignty

2. Multi-party Computation

   • Secure data sharing between organizations
   • Joint analytics on combined datasets
   • Privacy-preserving data marketplaces
   • Regulatory compliance workflows

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Implementation Guide

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Security Considerations

1. Attestation Requirements

   • Verify enclave measurements
   • Validate platform certificates
   • Check security version numbers
   • Implement nonce-based freshness

2. Network Security

   • TLS termination inside enclave
   • Certificate management
   • Network isolation policies
   • Secure packet forwarding

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Best Practices

1. Resource Management

   • Appropriate memory allocation
   • CPU core assignment
   • Network bandwidth allocation
   • Storage access patterns

2. Error Handling

   • Graceful degradation
   • Secure error messages
   • State recovery
   • Audit logging

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Future Roadmap

1. Platform Support

   • Intel SGX integration
   • AMD EPYC SEV support
   • Multi-platform orchestration
   • Cross-platform attestation

2. SDK Integration

   • Native TEE support in SDKs
   • Simplified deployment APIs
   • Attestation verification helpers
   • Secure state management

3. Scaling Features

   • Auto-scaling capabilities
   • Load balancing
   • State synchronization
   • High availability patterns

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References

• AWS Nitro Enclaves Documentation
• Intel SGX Documentation
• AMD SEV Documentation