AI Grid Cybersecurity Monitoring
The Problem
“Detect grid cyber threats before outages occur”
Organizations face these key challenges:
Limited visibility across OT assets (legacy protocols, remote substations, vendor silos) and weak correlation between IT and OT telemetry
High alert volumes and false positives from signature/rule-based tools, overwhelming SOC analysts and delaying response
Tight operational constraints (availability, safety, change control) that make patching, scanning, and intrusive monitoring difficult
Impact When Solved
The Shift
Real-World Use Cases
Smart Grid Management and Optimization
A smart grid is like upgrading from an old landline to a modern smartphone for your electricity network. Instead of just pushing power one way from big plants to homes, the grid becomes two‑way, with sensors and software that can see what’s happening in real time, shift loads, use home batteries and solar panels, and prevent or shorten outages.
AI Grid Congestion Management
This AI helps optimize the layout of power grids to reduce congestion without increasing costs or carbon emissions.