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AlphaEngine uses confidential compute for sensitive strategy evaluation paths. It does not require every part of the backend to run inside one private runtime.

Role in AlphaEngine

Confidential compute protects strategy inputs while they are being submitted, decoded, simulated, and evaluated. Public APIs, scoring formulas, artifacts, and final effects remain auditable. Use this rule:
Use the weakest sufficient privacy primitive.

Primitive policy

Use when private computation with attestation is sufficient.
Use when encrypted persistent state or encrypted computation materially changes the guarantee.
Use when external parties need to verify policy or evaluation compliance.
Use when no single runtime or operator should see plaintext.
Use when confidentiality does not change the product outcome.

What not to claim

Do not claim that public market execution becomes fully hidden. Do not claim that any privacy primitive removes all trust. Do not frame the product as a specific provider integration.

What to claim

AlphaEngine keeps strategy inputs confidential during submission and evaluation, while scores, evidence artifacts, eligibility status, and final effects can become public.

Privacy model

What is hidden, what leaks, and what becomes public.

Trust and confidential compute

Operational assumptions behind confidential evaluation.

Private strategy evaluation flow

Follow protected strategy inputs through evaluation.