As climate threats escalate and infrastructure becomes increasingly interconnected, utility resilience is no longer just about hardening individual assets; it is also about ensuring the interconnectedness of these assets.
The EIS Council’s Resilience and Redundancy Policy Working Group is working to redefine how we measure and manage resilience across the electric and water sectors—moving beyond outdated models and toward system-level resilience metrics that better reflect today’s risks.
Many utilities today rely on threat-asset pairings to evaluate resilience, asking questions like, “If a Category 4 hurricane hits this substation, what happens?” This method, while intuitive, has significant limitations:
It assumes independent asset performance, ignoring the growing interdependence between sectors.
It focuses largely on direct utility costs, often neglecting broader societal and community impacts.
It lacks the scope to capture cascading failures that ripple through interconnected systems.

In today’s complex grid environment, resilience must be measured at the system level. We need system-level resilience metrics that account for how failures in one part of the infrastructure can lead to widespread disruptions across other sectors.
This shift would:
Enable more holistic risk assessments
Account for interdependencies between electricity, water, telecom, and transportation
Improve utility planning by modeling cascading impacts
Better inform regulatory decision-making and investment justification
To bridge the gap between affordability and safety, the Working Group proposes a new framework: focus on threats that are both plausible and have intolerable societal consequences.
This threshold can:
Guide resilience investment levels as a percentage of total system value
Offer a transparent metric for justifying resilience spending to regulators and ratepayers
Help balance risk reduction with economic feasibility
Critical infrastructure sectors no longer operate in isolation. Yet today, information sharing between sectors remains limited, leaving systemic risks underappreciated and under-addressed.
The evolution of the electric grid, including the rising integration of renewables, mass electrification, and surging demand, adds layers of uncertainty. Without shared responsibility and system-level modeling, we risk being unprepared for tomorrow’s disruptions.
Resilience is no longer just a matter of protecting assets. It’s about safeguarding the critical functions of a deeply interconnected system. That requires new models, shared data, and a collective commitment to anticipating the worst before it happens.
Moving forward, system-level resilience metrics will be essential to capture the true scope of risk and guide smarter, cross-sector investment in resilience. The future of resilience lies not in isolated hardening efforts, but in understanding how systems fail together—and how they can recover together.
By: Chris Beck
Heatwaves now act like system-level attacks on infrastructure. They simultaneously increase demand and reduce performance, pushing energy, water, transport, and communications systems toward overload and cascading failure. Unlike cyberattacks, they cannot be stopped, only managed through resilience and coordination. Heatwaves Are No Longer Just Weather We still tend to treat heatwaves as environmental events. They […]
Modern conflict increasingly unfolds across two parallel arenas: the physical battlefield and the digital domain. While missiles, drones, and precision strikes remain visible components of warfare, a second layer of conflict often unfolds through cyber operations and infrastructure disruption. In this evolving landscape, grid security has emerged as a critical concern. Electric power systems underpin […]
In every crisis, whether a cyberattack, natural disaster, or infrastructure failure, information moves faster than operations. Decisions are made in minutes, public behavior shifts in seconds, and trust becomes the invisible system holding everything together. But today, truth itself is under pressure. Misinformation spreads faster than verified facts. AI-generated deepfakes blur the line between real […]