AI Power Grid Intrusion Prevention

The Problem

“Stop cyber intrusions before grid disruption”

Organizations face these key challenges:

Limited visibility into OT/ICS protocols and east-west substation traffic, especially with legacy devices and vendor-managed remote access

High false-positive rates from rule/signature-based tools leading to alert fatigue and slow triage during time-critical grid operations

Difficulty distinguishing legitimate operational switching/maintenance activity from malicious command-and-control or credential misuse, increasing response risk

Impact When Solved

Detect suspicious OT command sequences and lateral movement in minutes instead of hours/days to reduce outage likelihood and blast radiusCut security alert volume by 30%-60% via behavior-based scoring and context-aware correlation across IT/OT telemetryEnable faster, safer containment (segmentation enforcement, session termination, automated ticketing) to reduce incident response time by 40%-70%

Real-World Use Cases

AI in Energy Industry: Smart Grid Optimization and Energy Management

This is like giving the entire power system—power plants, grids, and large customers—a real‑time ‘autopilot’ that constantly predicts demand, reroutes electricity, and tunes equipment so you use less fuel, waste less energy, and keep the lights on more reliably.

Time-SeriesEmerging Standard

8.5

AI Grid Congestion Management

This AI helps optimize the layout of power grids to reduce congestion without increasing costs or carbon emissions.

optimizationgrowing

8.0