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The article compares confidential inference APIs from Privatemode, Tinfoil, NEAR AI, and Chutes, highlighting their security features like end-to-end encryption and trusted execution environments, along with tradeoffs in model selection and verification maturity.
This paper introduces Ethical Hyper-Velocity (EHV), an architectural framework that combines conflict-free replicated data types and trusted execution environments to achieve sub-millisecond formal verification of AI governance policies in autonomous agentic systems, reducing governance latency from days to constant time.