OT Cybersecurity as a Strategic Priority for the Energy Industry
In this article
The bubble is gone, and we removed it ourselves
For decades, the systems that run refineries, pipelines, wellheads and processing plants lived in a much more isolated world. Control networks were designed around operational boundaries, proprietary systems and limited external connectivity. Reaching them typically required substantially more proximity and access than it does today.
That bubble is gone. Energy companies removed it on purpose, and for good reason. Real-time visibility into field assets, predictive maintenance and AI-driven optimization all depend on connecting operational technology (OT) to enterprise IT and cloud environments. Today, a single compressor station streams sensor readings every second while data volumes at a single well can exceed 10 terabytes per day. Extracting value from that mountain of data, though, means opening the very doors that used to be welded shut.
The value is real, as is the exposure. Every new connection creates value, but it also creates another path that has to be understood, governed and defended. That's why OT cybersecurity has moved from a technical line item to a strategic priority. It's the layer beneath everything else the energy industry is trying to achieve.
The attack surface is expanding (by design)
Three shifts are converging on energy operations at once, and each one widens the attack surface:
- IT/OT convergence: Companies are deliberately connecting once-isolated control environments to enterprise systems to feed analytics, AI and remote operations. Each new connection is a potential pathway for bad actors.
- AI at the edge: Moving terabytes of field data to the cloud is not always practical due to latency, bandwidth, resilience and cost. That means analytics and intelligence are moving closer to the asset, putting more connected, powerful hardware in remote locations.
- Energy as the foundation for AI: According to the Department of Energy, data centers consumed about 4.4% of U.S. electricity in 2023 and could reach as much as 12% by 2028. With grid interconnection queues stretching for years, new behind-the-meter generation and energy infrastructure for AI workloads are increasingly part of the data center conversation. New business follows. So does new critical infrastructure that must be defended.
None of these three shifts is optional for a competitive energy business. The question is not whether to connect operations. It's whether security keeps pace.
Why you can't secure OT like IT
The instinct of many leadership teams is to hand OT security responsibilities to the IT organization and assume the same playbook applies. It does not.
Traditional IT security practices are generally built around systems that can be patched, scanned, isolated or restarted with relatively predictable business consequences.
OT flips the risk equation. In OT, availability and safety change how security controls have to be evaluated. A control that makes perfect sense in IT can create unacceptable risk in a physical process. Stopping a process stops revenue. And in the wrong sequence, it can also create dangerous operating conditions for employees.
The legacy reality makes it harder. Control systems consist of certified, engineered solutions purchased when the facility was built, meaning a 20-year-old plant may still rely on control platforms and applications that are decades old. Replacing or substantially upgrading those systems can require engineering studies, recertification, vendor coordination and alignment with carefully planned maintenance or turnaround windows. This is why field servers may still run operating systems well beyond what would be acceptable in a conventional IT environment, and attackers know it.
That's not negligence. It's a simple matter of engineering and economics. It's also why OT needs its own security model, built around visibility, segmentation and secure access rather than aggressive patching and scanning.
The cost behind an incident
Start with safety. A refinery is an interconnected physical process in which controllers, instrumentation, safety systems and rotating equipment have to operate within tightly engineered limits. A cyber incident that alters control logic or blinds operators can undermine the visibility and control operators rely on to keep that process inside those limits, a risk we examine in depth in Cybersecurity as a Safety Imperative in Oil and Gas Operations. Process failures in these environments are not inconveniences. They can injure or kill people.
After safety, run the economics. When operations stop, the meter starts running. Lost production is only the beginning. Then come restart costs, missed commitments, contractor expense and downstream impacts. Siemens puts the cost of an hour's unplanned downtime in oil and gas at close to $500,000, with annual losses averaging $149 million per facility. Those figures cover ordinary equipment failure. A cyber incident adds forensic investigation, regulatory reporting and a restart no one planned for.
The 2021 Colonial Pipeline shutdown remains one of the clearest lessons in IT/OT dependency. That ransomware event compromised business IT systems rather than the pipeline's operational controls, yet the company still took the entire pipeline system offline for six days. Without OT visibility, segmentation and a clear understanding of cross-domain dependencies, an IT incident can become an operational crisis.
Consider another example. In 2024, a cybersecurity incident cost Halliburton about $35 million in related expenses and disrupted billing and collections during the quarter.
The threat is accelerating, not receding. Dragos tracked 119 ransomware groups impacting 3,300 industrial organizations in 2025, a 49% year-over-year jump in active groups, and documented the VOLTZITE threat group compromising cellular gateways to reach U.S. midstream pipeline operations. At the other end of the spectrum, CISA has warned that even unsophisticated actors are targeting exposed OT systems across U.S. critical infrastructure, including oil and natural gas, where poor cyber hygiene can turn basic intrusions into physical consequences.
Regulators and insurers have already done the math. TSA pipeline security directives now require segmentation, monitoring and incident reporting. Standards like IEC 62443 and API 1164 are increasingly informing what mature OT cybersecurity looks like. Underwriters now scrutinize IT/OT separation and boundary controls when evaluating coverage, limits and risk. Security maturity increasingly has financial consequences, even when no incident occurs.
Where to start: Three moves in 180 days
Here's the good news: OT security is one of the most executable items on the modernization agenda. The playbook is proven, and meaningful risk reduction can begin in weeks rather than waiting for a multiyear transformation.
WWT sequences the OT security journey in three moves:
- First 30 days, secure remote access: Replace broad, network-level remote access where it still exists with identity-based, brokered access. That means time-boxed, recorded sessions for vendors and remote crews. This reduces one of the most common pathways into OT and gives you an audit trail from day one.
- By day 90, visibility and detection: Automatically discover assets, firmware versions, vulnerabilities and end-of-life gear, then stand up monitoring that understands industrial protocols. Visibility pays for itself fast: Dragos reported that organizations with comprehensive OT visibility contained ransomware incidents in an average of five days, versus a 42-day industry average.
- By day 180, segmentation and resilience: Enforce the IT/OT boundary at its choke points, contain what gets through and prove you can restore control logic and operator screens under pressure.
None of this requires taking operations down or waiting years for a turnaround window. It meets your environment where it is.
Operational trust is the real deliverable
As AI moves deeper into operations, security becomes the foundation of a bigger discipline we call "operational trust," a chain of custody from sensor to decision. Operational trust means knowing what every asset is, validating its state, tracing and auditing its data, and giving operators confidence that what they see on screen reflects what is happening in the field.
AI can tell you something with absolute confidence and still be wrong. In an office application, that's annoying. In a refinery, pipeline or wellsite, it can be dangerous. An AI model looking only at process data might recommend an operating change that appears more efficient. The process engineer may know that the recommendation reduces safety margin, conflicts with equipment history or ignores a condition the model cannot see.
This is why AI in operations should observe and advise while humans stay on the loop for safety-critical decisions, not just in the loop. It's also why gradual data poisoning or corruption of the operational data feeding those models becomes an entirely different class of risk.
Operational trust is not a product you can buy. You build it on OT that is visible, segmented and secured.
The strategic case
Every major initiative on the energy boardroom agenda lands on top of OT: AI in operations, edge computing, IT/OT convergence and new power business models built for the AI economy. Companies with a secure, visible OT foundation can move fast on all of them. Companies without one either accept risks that their safety culture would never tolerate in physical form or stall the very initiatives their boards are demanding.
That makes OT security the rare investment that's both defensive and enabling, and it's one of the places where an organization can show tangible progress quickly. WWT partners with 12 of the top 20 energy organizations in the U.S. on exactly this work, backed by a dedicated OT security practice and hands-on proving grounds like the WWT Industry Solution Experience and the WWT Cyber Range, where teams pressure-test architectures before they ever touch live assets.
If OT security is not yet part of the strategic conversation, start by asking a few simple questions: Do we know what is connected to our operations, who and what can reach it, and whether we could continue operating safely if part of that environment became untrusted?
Your answers will establish the foundation for everything that follows, from AI and edge computing to remote operations and autonomous systems. WWT helps energy organizations answer those questions, validate architectures and turn the results into a practical roadmap that operations, IT and security can all stand behind.