Trusted Execution Environments for Trading: AWS Nitro, Intel SGX, and AMD SEV Compared
A practitioner's guide to TEEs for trading infrastructure: how AWS Nitro Enclaves, Intel SGX, and AMD SEV-SNP work, where each fits, and real benchmark numbers.
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When every operation is cryptographically provable
The convergence of confidential compute, MPC, and AI agents in trading infrastructure: AWS Nitro vs SGX vs SEV-SNP tradeoffs, attestation as proof of strategy, ZeroCopy Sovereign Consciousness architecture, and the manifesto.
The firms that will own institutional crypto trading in the next decade are not the ones with the best signals. They are the ones whose infrastructure makes "trust us, it is secure" unnecessary — replacing it with cryptographic proof. This series documents why that shift is happening and how to build for it.
A practitioner's guide to TEEs for trading infrastructure: how AWS Nitro Enclaves, Intel SGX, and AMD SEV-SNP work, where each fits, and real benchmark numbers.
How TEE-based confidential compute lets trading firms prove their strategy is running as described to investors and auditors without revealing the strategy itself.
ZeroCopy runs AI agents in production for trading workflow orchestration. What Letta-based agents actually do well in trading, what guardrails make them safe, and the real architecture.
A rigorous cost and latency analysis of on-premise GPU vs cloud for trading AI workloads. The tipping point is different than most firms assume — here is the analysis.
The ZeroCopy thesis: TEEs, MPC, and AI agents are converging to produce a new class of trading infrastructure where every operation is cryptographically provable. This is the manifesto.