What types of energy systems can Eggplant help modernize?

Eggplant tests legacy SCADA systems, smart grid infrastructure, customer information systems (CIS), advanced metering infrastructure (AMI), outage management systems, and customer-facing web and mobile applications. Most engagements focus on validating SCADA HMI workflows and smart meter integrations, the systems where manual testing scales worst and operational risk is highest.

Can Eggplant test legacy SCADA and industrial control systems without disrupting operations?

Yes. Eggplant tests SCADA HMIs at the UI level using image recognition, so it works on any HMI (Siemens WinCC, GE iFIX, Wonderware InTouch, Rockwell FactoryTalk) without requiring code-level integration or operational disruption. Tests run against a test environment that mirrors production, with no risk to live grid operations.

What regulatory and compliance frameworks does Eggplant support?

Eggplant generates audit-ready evidence for NERC CIP (Critical Infrastructure Protection) standards, IEC 61850 substation automation, ICS cybersecurity frameworks (NIST 800-82), and state-level utility regulatory requirements. Test execution captures the documentation that NERC CIP-010 configuration change management and CIP-007 system security management auditors look for.

Can Eggplant scale for large utility enterprise environments?

Yes. Eggplant supports distributed test execution across operational regions, role-based access for separated OT and IT teams, and integration with utility-grade CI/CD toolchains. Air-gapped deployment means tests can run inside the operational network where modernisation efforts are most concentrated.

How does Eggplant integrate with utility DevOps practices and operational environments?

Eggplant integrates with Jenkins, GitLab, Azure DevOps, and air-gapped DevSecOps platforms. For OT environments specifically, it integrates with configuration management databases and operational change-control workflows — essential for NERC CIP compliance where every change must be tested, evidenced, and approved.

How quickly will I see results after implementing Eggplant?

Most utilities see meaningful results within the first two quarters. Initial wins typically come from automating SCADA HMI regression testing, smart meter integration validation, or customer portal end-to-end testing, the workflows where manual testing was most painful and operational risk highest.

Automated Software Testing for Energy & Utilities

Eggplant for SCADA testing automation, smart grid validation, and utility customer system testing — runs natively in air-gapped OT environments where most testing tools cannot operate.

Grid Failures Start in the Integration

SCADA testing in an air-gapped OT environment rules out most automation tools. They need cloud connectivity or network access the operational technology boundary won’t permit. So, utility teams validate control room interfaces manually, accepting the coverage gaps and the risk that a misconfigured SCADA display or failed smart meter integration surfaces during a grid event, not in test.

Why Automated Software Testing Matters in Energy & Utilities

Validate Control Room Interfaces Without Touching the Operational Network

SCADA HMIs, DMS consoles, and outage management displays are the interfaces operators depend on during grid events. Eggplant tests these interfaces at the visual level, the way an operator reads them, without requiring agents, API hooks, or access to the operational technology network. If the display renders incorrectly, shows stale data, or responds differently after a platform update, Eggplant finds it before the operator does.

End-to-End Testing Across the OT/IT Boundary

Modern utility environments span SCADA, smart grid platforms, customer information systems, and mobile apps – all exchanging data across the OT/IT boundary. One end-to-end test validates the full chain before failures reach live operators.

Automated Evidence for NERC CIP and Continuous Monitoring

Every change to a critical cyber asset requires evidence before deployment. Eggplant generates NERC CIP documentation automatically – timestamps, test results, and requirements traceability with every run.

Air-Gapped Deployment for Operational Environments

Eggplant runs entirely inside your secure operational network. No cloud connectivity, no external data transfer, no vendor-hosted infrastructure. Tests execute against the same systems live operators use; inside the same security boundary your OT environment requires. This is what makes continuous automated testing practical in utility environments where most automation tools simply cannot operate.

What You Get

From legacy SCADA to Smart Grid with AI-powered testing that spans any platform or system.

SCADA and HMI Validation

Eggplant tests control room interfaces, SCADA displays, and operator consoles using image recognition – validating exactly what operators see, not just system reports. Misconfigured displays and rendering errors surface in test before they affect live operations.
OT/IT Integration Testing

One end-to-end test spans generation, transmission, distribution, billing, and outage systems. Integration failures between OT platforms (SCADA, DMS, EMS) and IT systems (CIS, customer portals, mobile apps) are caught before they reach live grid operations.
Automated Compliance Evidence

Audit-ready test evidence for NERC CIP, IEC 61850, and continuous monitoring requirements generates automatically with every test run. Compliance documentation no longer requires a manual evidence-gathering sprint before each audit cycle.
Air-Gapped Secure Testing

Full deployment inside the operational technology boundary. No external connectivity, no cloud dependency, no data leaving the secure environment. Eggplant works where most automation tools cannot be installed.

Discover Energy & Utilities Resources

The Ultimate AI Testing Playbook

The pressure to release updates faster is greater today than ever to keep up with customer expectations. DevOps and continuous testing should provide the answer to keeping up with the pace of change, but unless testing teams harness everything these ways of working have to offer, they aren't enough.

As this playbook explains, the key to success is adding AI testing to the toolkit.

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