Cryptographic Attestation
Hardware-rooted proofs of execution integrity. Every job produces digitally signed attestations verifiable by any third party.
Deploy sensitive workloads in hardware-secured enclaves with cryptographic verification. Support for financial algorithms, AI models, and any computation requiring secure execution.
Watch our comprehensive introduction to understand how Treza enables secure, verifiable computation in hardware-protected enclaves.
Run sensitive workloads in verifiable enclaves with mathematical proof of execution integrity. From financial algorithms to AI models.
Secure job scheduling with task queuing and execution management. Hardware-secured key management with multi-signature support.
Event-driven computation triggered by market signals or system events. Developer SDK for seamless integration.
Hardware-secured enclaves for sensitive workloads. Cryptographically-isolated environments with verifiable attestation.
Deploy sensitive computation with hardware-level security. TEE-agnostic protocol supporting Intel SGX, AMD SEV, and ARM TrustZone.
Hardware-rooted proofs of execution integrity. Every job produces digitally signed attestations verifiable by any third party.
Unified interface across Intel SGX, AMD SEV, ARM TrustZone, and RISC-V Keystone. One API for all hardware architectures.
Comprehensive execution analytics with detailed performance profiling. Real-time metrics, bottleneck detection, and optimization recommendations.
Cryptographically-isolated execution with memory encryption and integrity protection. Zero network exposure with tamper-resistant logging.
Simple abstraction layer removing TEE complexity. Comprehensive APIs enabling secure integration without domain expertise.
Smart contracts that verify TEE attestation documents and execution proofs. Enabling trustless validation of off-chain computation results for DeFi and Web3 applications.
TEE-agnostic protocol integrating across hardware architectures and development environments. Supporting diverse workloads from AI inference to financial computation.
Intelligent resource allocation using multi-head attention networks. Dynamic workload prioritization and adaptive compute distribution based on real-time context analysis.