Sub-100ms Inference Architecture for Security Decisions Questions

Design and deployment of real-time machine learning inference pipelines to support security decision-making with latency targets under 100 milliseconds. Includes model serving infrastructure, feature engineering pipelines, streaming data integration, distributed deployment, performance optimization, failure resilience, monitoring, and security considerations for ML-powered security controls.