This article presents a comprehensive framework integrating enterprise architecture for smart grid management with fraud detection systems, with particular emphasis on critical security, latency, and bandwidth requirements across diverse grid segments. The framework guarantees mission-critical reliability rates up to 99.999% while facilitating real-time data processing from Phasor Measurement Units operating at 30–120 samples per second with latencies under 100 ms. The architecture’s multi-layered design addresses the communication diversity spanning from Home Area Networks (HANs) operating at 10–100 Kbps to Wide Area Networks (WANs) requiring 2–10 Mbps bandwidth capacity. Advanced analytics capabilities including dimensionality reduction techniques compress PMU data from 500 to 20 dimensions while preserving 98% of variance, enhancing scalability. The security framework efficiently identifies complex false data injection attacks even with access to only 4 m in a 14-bus system. Enhanced by cloud computing infrastructure and achieving event classification accuracy above 95%, this framework offers a robust, real-time solution for modern grid demands, effectively balancing performance, security, and interoperability requirements.