As electrical grids grow smarter and more connected, they become vulnerable not only to the physical failures they have always faced, but to the invisible hands of those who would manipulate the data meant to protect them. A research team has answered this double threat by weaving together three distinct forms of artificial intelligence into a single diagnostic system — one capable of detecting real faults even when the information it receives has been deliberately poisoned. Tested against IEEE standard network models under simulated cyber-attack conditions, the AE-CBiLSTM model held its groun