Industries · ENR
Energy
Where operational technology, critical infrastructure, and the grid's new intelligence meet.
Where we stand
The industry, as we find it.
Generation, transmission, and distribution companies are digitizing operational environments that were never designed to be reachable. We work at the seam between IT and OT: securing industrial control environments, building the software that operates distributed assets, and applying machine learning to forecasting and grid optimization.
How we serve Energy
Our three disciplines, pointed at your problems.
OT security without stopping the plant
Assessments and detection programs for industrial control systems and SCADA environments, designed around the uptime constraints that make traditional IT security playbooks unusable.
About the practiceSoftware for distributed assets
Monitoring, telemetry, and operations software for fleets of distributed generation and storage — built for environments where connectivity is intermittent and failure is expensive.
About the practiceForecasting the modern grid
Machine learning for load and generation forecasting, asset-health prediction, and the optimization problems that distributed renewables have made unavoidable.
About the practiceOur Opinion · Energy
What we think about this industry.
Detection rules decay like software — treat them that way
SOCs measure alert volume and response time while their detection logic silently rots. Rule health — coverage, breakage, drift — is the metric that decides whether you see the intrusion at all.
Cybersecurity Practice
July 8, 2026 · 3 min read
The air gap is a memory: securing operational technology in the connected plant
Energy operators digitized their industrial estates for efficiency and inherited an attack surface their security programs were never scoped for. The fix starts with visibility, not firewalls.
Cybersecurity Practice
April 22, 2026 · 2 min read
Forecasting the distributed grid: machine learning where the meter runs both ways
Rooftop solar, batteries, and electrified demand have broken the load curves utilities planned around for a century. Forecasting is now a core grid asset — and a data engineering problem before it is a modeling one.
CAID Research
February 18, 2026 · 2 min read
Work with us in Energy