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= Supply Chain Risk, Resilience & Emerging Trends =
= Supply Chain Security, Resilience & Industry Trends =
 
[[File:Supply Chain Model.png|thumb|right|900px|EPRI Supply Chain Model<ref>[https://www.epri.com/research/programs/112046/results/3002012753 EPRI Supply Chain Assessment Research Program]</ref>]]


== Executive Summary ==
== Executive Summary ==


Supply chains have become a strategic risk area for utilities and critical infrastructure operators. Globally sourced hardware, software, and connected technologies introduce cybersecurity, operational, and geopolitical risks that can impact reliability and business operations.
Supply chains have become a strategic focus area for utilities and critical infrastructure operators. Globally sourced hardware, software, and connected technologies introduce cybersecurity, operational, and geopolitical risks that can impact reliability, resilience, and business operations.
 
At the same time, organizations are investing in advanced visibility and risk management capabilities using Artificial Intelligence (AI), Supply Chain Control Towers, Digital Twins, and supplier monitoring programs.
 
=== Key Priorities ===
 
* Supply Chain Cybersecurity
* Supplier Risk Management
* End-to-End Visibility
* AI-Enabled Decision Support
* Supply Chain Resilience
* Secure Procurement
 
[[File:Supply Chain Model.png|thumb|right|900px|EPRI Supply Chain Model <ref>https://www.epri.com/research/programs/112046/results/3002012753</ref>]]
 
----
 
== Why It Matters ==


Modern supply chains are increasingly:
At the same time, utilities are investing in advanced visibility and decision-support capabilities including Artificial Intelligence (AI), Supply Chain Control Towers, Digital Twins, and supplier-risk monitoring. These capabilities help organizations improve situational awareness, identify disruptions earlier, and strengthen long-term resilience.


* Globally distributed
{| class="wikitable"
* Digitally connected
|-
* Dependent on third-party suppliers
! Area
* Exposed to cyber and geopolitical risks
! Potential Impact
 
|-
Disruptions involving suppliers, software providers, logistics partners, or manufacturers can directly impact reliability, operations, and security.
| Reliability
| Equipment shortages, supplier outages, and logistics disruptions can affect maintenance schedules, project timelines, and grid modernization efforts.
|-
| Cybersecurity
| Third-party technologies may introduce new attack surfaces, software vulnerabilities, and unauthorized access pathways.
|-
| Operations
| Limited visibility into suppliers and dependencies can delay the identification and resolution of operational disruptions.
|-
| Resilience
| Organizations require the ability to anticipate, withstand, and recover from changing operational, geopolitical, and market conditions.
|}


----
----


== Key Risks ==
== Key Supply Chain Risks ==


=== Hardware & Communications Risks ===
=== Technology & Asset Assurance ===


Industry assessments have identified instances of undocumented communications capabilities such as:
Recent industry assessments have highlighted the importance of understanding communications protocols, data flows, vendor connectivity, and remote access capabilities associated with modern energy technologies.<ref>[https://msites.epri.com/spn/research/112046/security-design-architecture-review%3A-solar-inverters EPRI Security Design Architecture Review: Solar Inverters (3002029720)]</ref>


* Cellular connectivity
Examples include:
* Wi-Fi
* Bluetooth
* Remote management functions


'''Utility Impact'''
* Cellular communications modules
* Wi-Fi connectivity
* Bluetooth interfaces
* Vendor remote-access capabilities
* Undocumented communications pathways


These capabilities can introduce unknown access paths, reduce asset visibility, and complicate cybersecurity monitoring.
'''Why It Matters'''


=== Software Supply Chain Risks ===
For utilities, uncertainty surrounding deployed technologies can complicate asset management, cybersecurity monitoring, incident response, and overall operational awareness. The challenge is often less about a specific technology and more about understanding exactly what has been deployed and how it communicates.


Modern energy systems rely heavily on software, firmware, cloud services, and third-party applications.
=== Software Supply Chain Risk ===


'''Examples'''
Modern utility operations depend on software vendors, cloud providers, embedded firmware, open-source components, and third-party integrators.


* Compromised software updates
A compromise of a trusted software supplier can potentially affect multiple organizations simultaneously. As software ecosystems grow increasingly complex, visibility into software dependencies becomes more important.
* Vulnerable dependencies
* Unauthorized firmware changes
* Third-party remote access tools


'''Utility Impact'''
EPRI's Technical Assessment Methodology (TAM) emphasizes evaluating attack surfaces, identifying security gaps, and validating security controls throughout technology deployments. <ref>[https://www.epri.com/research/programs/112046/results/3002021184 EPRI Technical Assessment Methodology (3002021184)]</ref> <ref>[https://www.epri.com/research/programs/112046/results/3002017149 EPRI Technical Assessment Methodology (3002017149)]</ref>


A compromise affecting a single supplier may have downstream impacts across multiple organizations.
=== Geopolitical & Supplier Risk ===


=== Geopolitical & Supplier Risks ===
Global supply chains remain vulnerable to geopolitical developments, manufacturing concentration, transportation constraints, and evolving trade regulations.


Global supply chains remain vulnerable to:
Examples include:


* Trade restrictions
* Trade restrictions and tariffs
* Export controls
* Export controls
* Semiconductor shortages
* Semiconductor shortages
Line 73: Line 67:
* Transportation disruptions
* Transportation disruptions


'''Utility Impact'''
These events can affect equipment availability, increase lead times, and delay infrastructure investments across the utility sector.


Supply disruptions can delay infrastructure projects, maintenance activities, and equipment deployments.
{| class="wikitable"
|+ Common Supply Chain Risk Drivers
|-
! Risk Area
! Examples
|-
| Cybersecurity
| Third-party compromise, ransomware, software supply chain attacks
|-
| Technology
| Undocumented communications, firmware integrity concerns, unsupported products
|-
| Geopolitical
| Export controls, tariffs, regional instability
|-
| Logistics
| Shipping delays, port disruptions, inventory shortages
|}


----
----
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== Supply Chain Cybersecurity ==
== Supply Chain Cybersecurity ==


[[File:SupplyChainCyber.jpg|thumb|right|450px|Supply Chain Cybersecurity]]
As utilities continue their digital transformation efforts, cybersecurity considerations increasingly extend beyond organizational boundaries and into supplier ecosystems.


Digital transformation has expanded the attack surface across supply chains.
Industry supply chain security programs focus on understanding software integrity, vendor access, communications pathways, and architectural risks before technologies are deployed.<ref>[https://msites.epri.com/spn/research/112046/security-design-architecture-review%3A-solar-inverters EPRI Security Design Architecture Review: Solar Inverters (3002029720)]</ref>


=== Common Threats ===
EPRI's Defensible Network Architectures guidance provides criteria for securely deploying operational technologies and reducing exposure to unauthorized access pathways.<ref>[https://www.epri.com/research/products/000000003002027430 EPRI Defensible Network Architectures: Criteria for Secure OT Deployment in Power Systems (3002027430)]</ref>


* Third-party compromise
'''Leading Practices'''
* Ransomware
* Software supply chain attacks
* Vendor remote access
* IoT device vulnerabilities


=== Leading Practices ===
* Supplier cybersecurity assessments
 
* Software Bills of Materials (SBOMs)
* Supplier cyber assessments
* Hardware Bills of Materials (HBOMs)
* Multifactor Authentication (MFA)
* Vendor access reviews
* Multi-Factor Authentication (MFA)
* Network segmentation
* Network segmentation
* Continuous supplier monitoring
* Continuous supplier monitoring
* Software Bills of Materials (SBOMs)


----
----
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[[File:Audit AI Agent.jpg|thumb|right|450px|AI-Enabled Supply Chain Analytics]]
[[File:Audit AI Agent.jpg|thumb|right|450px|AI-Enabled Supply Chain Analytics]]


AI is helping organizations move from reactive to predictive supply chain management.
Artificial Intelligence is helping organizations move beyond reactive supply chain management by improving forecasting, disruption analysis, inventory planning, and supplier-risk identification.


=== Current Applications ===
Current applications include:


* Demand forecasting
* Demand forecasting
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* Predictive maintenance
* Predictive maintenance
* Transportation optimization
* Transportation optimization
* Procurement analytics
As supply chains become increasingly complex, digital tools are being adopted to improve operational awareness and support planning activities across utility operations.<ref>[https://top.epri.com/research-area/inverter-based-resources-and-grid-interconnection EPRI Inverter-Based Resources and Grid Interconnection Research Area]</ref>


=== Emerging Trend: Agentic AI ===
=== Emerging Trend: Agentic AI ===


Organizations are beginning to evaluate AI systems capable of performing approved supply chain actions, such as:
Industry leaders are evaluating AI systems capable of performing approved actions on behalf of supply chain personnel. Potential applications include supplier evaluation, inventory balancing, logistics optimization, and disruption-response activities.


* Supplier identification
While still emerging, Agentic AI is expected to become a major area of investment over the next several years.
* Inventory rebalancing
* Logistics rerouting
* Risk investigation


----
----


== Supply Chain Visibility ==
== Supply Chain Visibility & Control Towers ==


[[File:Supply Chain Control Tower.png|thumb|right|800px|Supply Chain Control Tower]]
[[File:Supply Chain Control Tower.png|thumb|right|650px|Supply Chain Control Tower]]


Control Towers and Digital Twins are becoming key tools for improving visibility and resilience.
A Supply Chain Control Tower provides a centralized view of suppliers, inventory, logistics networks, external risks, and operational dependencies.


=== Benefits ===
Rather than relying on disconnected data sources, organizations can monitor critical supply chain activities from a single operational picture and identify disruptions earlier.


* Real-time visibility
The same industry drivers accelerating adoption of digital twins, advanced analytics, and operational visibility platforms are also increasing demand for comprehensive supplier awareness and dependency mapping.<ref>[https://www.epri.com/research/programs/112046/results/3002012753 EPRI Supply Chain Assessment Research Program]</ref>
* Supply disruption monitoring
* Supplier performance tracking
* Scenario planning
* Risk analysis


=== Key Question ===
{| class="wikitable"
|-
! Capability
! Business Value
|-
| Real-Time Visibility
| Improves awareness of inventory, suppliers, shipments, and operational dependencies.
|-
| Risk Monitoring
| Identifies supply chain disruptions, supplier issues, and emerging risks earlier.
|-
| Decision Support
| Enables faster and more informed operational and procurement decisions.
|-
| Executive Reporting
| Provides leadership with a consolidated view of supply chain performance and risks.
|}


''Can we identify supply chain disruptions before they impact operations?''


----
----


== Recommendations ==
== Digital Twins & Scenario Planning ==
 
 
Digital Twins create virtual representations of suppliers, transportation networks, inventory, and operational dependencies.
 
These environments allow organizations to evaluate potential disruptions before they occur and better understand downstream operational impacts.


=== Procurement ===
As utilities adapt to increasing levels of inverter-based resources, distributed energy resources, and interconnected technologies, advanced modeling and simulation capabilities are becoming essential tools for planning, resilience analysis, and operational decision-making.<ref>[https://top.epri.com/research-area/inverter-based-resources-and-grid-interconnection EPRI Inverter-Based Resources and Grid Interconnection Research Area]</ref>


* Require SBOMs and HBOMs
Common scenarios include:
* Assess supplier cybersecurity practices
* Review remote access capabilities


=== Visibility ===
* Supplier failures
* Transportation disruptions
* Severe weather events
* Equipment shortages
* Grid modernization delays


* Maintain supplier and asset inventories
----
* Identify critical dependencies
* Conduct wireless assessments


=== Security ===
== Recommendations ==


* Eliminate default credentials
{| class="wikitable"
* Restrict remote access
|-
* Implement MFA
! Area
* Segment operational networks
! Recommended Actions
|-
| Procurement
| Require SBOMs and HBOMs, assess supplier security practices, review remote-access capabilities, and validate vendor security programs.
|-
| Visibility
| Maintain supplier inventories, map critical dependencies, improve traceability, and understand technology communications pathways.
|-
| Monitoring
| Continuously assess supplier risks, geopolitical developments, software vulnerabilities, and emerging threats.
|-
| Security
| Eliminate default credentials, implement MFA, restrict remote access, validate firmware integrity, and segment networks.
|}


----
----


== Emerging Trends (2026–2027) ==
== Emerging Trends ==


=== High Priority ===
Utilities continue to monitor several technologies and practices that may significantly influence future supply chain operations, resilience, and risk management.


{| class="wikitable"
|+ Industry Watchlist
|-
! High Priority
! Emerging Areas
|-
|
* Agentic AI
* Agentic AI
* Supply Chain Control Towers
* Supply Chain Control Towers
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* Software Supply Chain Security
* Software Supply Chain Security
* Third-Party Risk Monitoring
* Third-Party Risk Monitoring
 
|
=== Emerging ===
 
* Autonomous Logistics
* Autonomous Logistics
* Robotics
* Robotics
* IoT Asset Tracking
* IoT Asset Tracking
* Digital Product Passports (DPPs)
* Digital Product Passports (DPPs)
|}


'''Digital Product Passports (DPPs)'''
'''Digital Product Passports (DPPs)'''


An emerging traceability capability primarily driven by international regulatory requirements that may influence future supply chain transparency, procurement processes, and asset traceability.
Digital Product Passports are emerging as a mechanism for improving product traceability and lifecycle transparency. Driven largely by international regulatory initiatives, DPPs may influence future procurement, supplier reporting, asset lifecycle management, and supply chain visibility programs.
 
----
 
== References ==
 
<references />
 
== EPRI Resources ==
 
* [https://www.epri.com/research/programs/112046/results/3002012753 EPRI Supply Chain Assessment Research Program]
* [https://msites.epri.com/spn/research/112046/security-design-architecture-review%3A-solar-inverters EPRI Security Design Architecture Review: Solar Inverters (3002029720)]
* [https://www.epri.com/research/products/000000003002012752 EPRI Technical Assessment Methodology (3002012752)]
* [https://www.epri.com/research/products/000000003002027430 EPRI Defensible Network Architectures: Criteria for Secure OT Deployment in Power Systems (3002027430)]
* [https://top.epri.com/research-area/inverter-based-resources-and-grid-interconnection EPRI Inverter-Based Resources and Grid Interconnection Research Area]
 
== Related Topics ==
 
* Inverter-Based Resources (IBRs)
* Battery Energy Storage Systems (BESS)
* Supply Chain Cybersecurity
* Operational Technology (OT) Security
* Digital Twins
* Artificial Intelligence
* Supplier Risk Management
* Grid Modernization

Latest revision as of 20:04, 5 November 2026

Supply Chain Security, Resilience & Industry Trends

EPRI Supply Chain Model[1]

Executive Summary

Supply chains have become a strategic focus area for utilities and critical infrastructure operators. Globally sourced hardware, software, and connected technologies introduce cybersecurity, operational, and geopolitical risks that can impact reliability, resilience, and business operations.

At the same time, utilities are investing in advanced visibility and decision-support capabilities including Artificial Intelligence (AI), Supply Chain Control Towers, Digital Twins, and supplier-risk monitoring. These capabilities help organizations improve situational awareness, identify disruptions earlier, and strengthen long-term resilience.

Area Potential Impact
Reliability Equipment shortages, supplier outages, and logistics disruptions can affect maintenance schedules, project timelines, and grid modernization efforts.
Cybersecurity Third-party technologies may introduce new attack surfaces, software vulnerabilities, and unauthorized access pathways.
Operations Limited visibility into suppliers and dependencies can delay the identification and resolution of operational disruptions.
Resilience Organizations require the ability to anticipate, withstand, and recover from changing operational, geopolitical, and market conditions.

Key Supply Chain Risks

Technology & Asset Assurance

Recent industry assessments have highlighted the importance of understanding communications protocols, data flows, vendor connectivity, and remote access capabilities associated with modern energy technologies.[2]

Examples include:

  • Cellular communications modules
  • Wi-Fi connectivity
  • Bluetooth interfaces
  • Vendor remote-access capabilities
  • Undocumented communications pathways

Why It Matters

For utilities, uncertainty surrounding deployed technologies can complicate asset management, cybersecurity monitoring, incident response, and overall operational awareness. The challenge is often less about a specific technology and more about understanding exactly what has been deployed and how it communicates.

Software Supply Chain Risk

Modern utility operations depend on software vendors, cloud providers, embedded firmware, open-source components, and third-party integrators.

A compromise of a trusted software supplier can potentially affect multiple organizations simultaneously. As software ecosystems grow increasingly complex, visibility into software dependencies becomes more important.

EPRI's Technical Assessment Methodology (TAM) emphasizes evaluating attack surfaces, identifying security gaps, and validating security controls throughout technology deployments. [3] [4]

Geopolitical & Supplier Risk

Global supply chains remain vulnerable to geopolitical developments, manufacturing concentration, transportation constraints, and evolving trade regulations.

Examples include:

  • Trade restrictions and tariffs
  • Export controls
  • Semiconductor shortages
  • Critical mineral dependencies
  • Transportation disruptions

These events can affect equipment availability, increase lead times, and delay infrastructure investments across the utility sector.

Common Supply Chain Risk Drivers
Risk Area Examples
Cybersecurity Third-party compromise, ransomware, software supply chain attacks
Technology Undocumented communications, firmware integrity concerns, unsupported products
Geopolitical Export controls, tariffs, regional instability
Logistics Shipping delays, port disruptions, inventory shortages

Supply Chain Cybersecurity

As utilities continue their digital transformation efforts, cybersecurity considerations increasingly extend beyond organizational boundaries and into supplier ecosystems.

Industry supply chain security programs focus on understanding software integrity, vendor access, communications pathways, and architectural risks before technologies are deployed.[5]

EPRI's Defensible Network Architectures guidance provides criteria for securely deploying operational technologies and reducing exposure to unauthorized access pathways.[6]

Leading Practices

  • Supplier cybersecurity assessments
  • Software Bills of Materials (SBOMs)
  • Hardware Bills of Materials (HBOMs)
  • Vendor access reviews
  • Multi-Factor Authentication (MFA)
  • Network segmentation
  • Continuous supplier monitoring

Artificial Intelligence in Supply Chains

AI-Enabled Supply Chain Analytics

Artificial Intelligence is helping organizations move beyond reactive supply chain management by improving forecasting, disruption analysis, inventory planning, and supplier-risk identification.

Current applications include:

  • Demand forecasting
  • Inventory optimization
  • Supplier risk monitoring
  • Predictive maintenance
  • Transportation optimization
  • Procurement analytics

As supply chains become increasingly complex, digital tools are being adopted to improve operational awareness and support planning activities across utility operations.[7]

Emerging Trend: Agentic AI

Industry leaders are evaluating AI systems capable of performing approved actions on behalf of supply chain personnel. Potential applications include supplier evaluation, inventory balancing, logistics optimization, and disruption-response activities.

While still emerging, Agentic AI is expected to become a major area of investment over the next several years.


Supply Chain Visibility & Control Towers

Supply Chain Control Tower

A Supply Chain Control Tower provides a centralized view of suppliers, inventory, logistics networks, external risks, and operational dependencies.

Rather than relying on disconnected data sources, organizations can monitor critical supply chain activities from a single operational picture and identify disruptions earlier.

The same industry drivers accelerating adoption of digital twins, advanced analytics, and operational visibility platforms are also increasing demand for comprehensive supplier awareness and dependency mapping.[8]

Capability Business Value
Real-Time Visibility Improves awareness of inventory, suppliers, shipments, and operational dependencies.
Risk Monitoring Identifies supply chain disruptions, supplier issues, and emerging risks earlier.
Decision Support Enables faster and more informed operational and procurement decisions.
Executive Reporting Provides leadership with a consolidated view of supply chain performance and risks.



Digital Twins & Scenario Planning

Digital Twins create virtual representations of suppliers, transportation networks, inventory, and operational dependencies.

These environments allow organizations to evaluate potential disruptions before they occur and better understand downstream operational impacts.

As utilities adapt to increasing levels of inverter-based resources, distributed energy resources, and interconnected technologies, advanced modeling and simulation capabilities are becoming essential tools for planning, resilience analysis, and operational decision-making.[9]

Common scenarios include:

  • Supplier failures
  • Transportation disruptions
  • Severe weather events
  • Equipment shortages
  • Grid modernization delays

Recommendations

Area Recommended Actions
Procurement Require SBOMs and HBOMs, assess supplier security practices, review remote-access capabilities, and validate vendor security programs.
Visibility Maintain supplier inventories, map critical dependencies, improve traceability, and understand technology communications pathways.
Monitoring Continuously assess supplier risks, geopolitical developments, software vulnerabilities, and emerging threats.
Security Eliminate default credentials, implement MFA, restrict remote access, validate firmware integrity, and segment networks.

Emerging Trends

Utilities continue to monitor several technologies and practices that may significantly influence future supply chain operations, resilience, and risk management.

Industry Watchlist
High Priority Emerging Areas
  • Agentic AI
  • Supply Chain Control Towers
  • Digital Twins
  • Software Supply Chain Security
  • Third-Party Risk Monitoring
  • Autonomous Logistics
  • Robotics
  • IoT Asset Tracking
  • Digital Product Passports (DPPs)

Digital Product Passports (DPPs)

Digital Product Passports are emerging as a mechanism for improving product traceability and lifecycle transparency. Driven largely by international regulatory initiatives, DPPs may influence future procurement, supplier reporting, asset lifecycle management, and supply chain visibility programs.


References

EPRI Resources

Related Topics

  • Inverter-Based Resources (IBRs)
  • Battery Energy Storage Systems (BESS)
  • Supply Chain Cybersecurity
  • Operational Technology (OT) Security
  • Digital Twins
  • Artificial Intelligence
  • Supplier Risk Management
  • Grid Modernization