In energy and utilities, the documentation describing how your infrastructure works is the same documentation someone would need to disrupt it.
Your engineers work with single-line diagrams, relay specs, and substation configurations every day. So would anyone planning to knock a substation offline.
And the danger is that material no longer sits in one controlled place.
Instead, it moves through engineering workstations, contractor laptops, cloud environments, and OEM vendor portals. Control room operators, field crews, and third-party maintenance staff handle it daily, and they all need access to it to do their jobs.
Legacy Data Loss Prevention (DLP) tools were built to match patterns. They'll catch a formatted account number, but they'll miss an HMI screenshot, a marked-up topology diagram, or a configuration file pasted into an AI assistant, because none of those carry a pattern to match.
Protecting critical infrastructure against modern cyberattacks requires more than perimeter rules, and it has to work without stalling maintenance.
In this blog, you'll learn how a behavior-centric DLP strategy protects operational documentation, secures vendor and contractor access, and keeps your organization audit-ready under NERC CIP.
Why is Data Security So High-Stakes in Energy and Utilities?
In energy and utilities, including the expanding renewable energy sector, data security protects not just internal records, but the continuity of service that millions of people depend on.
Three pressures make cybersecurity uniquely demanding in this sector.
Operational Data Doubles as an Attack Blueprint
The intellectual property that keeps an energy or utility operation running also describes, in precise detail, how to interfere with it.
Network diagrams, relay and switchgear documentation, SCADA operations manuals, and substation configurations are reference material for your engineers and a target map for anyone who wants to cause harm.
Security firm Dragos and U.S. agencies, including CISA, have documented the state-sponsored group Volt Typhoon exfiltrating exactly this kind of material from utility networks. In one confirmed compromise, the actors pulled zipped files from a file server containing network diagrams and operational documentation for control systems.
Seen this way, data leakage in this sector isn't just a records problem. It could represent the reconnaissance stage of an attack.
Regulatory Mandates Carry Daily Financial Penalties
Operating critical infrastructure brings heavy compliance obligations, and they are tightening.
Two NERC Critical Infrastructure Protection (CIP) changes took effect in 2026:
- CIP-003-9, enforceable from April 1, extended vendor remote access and supply chain controls down to low-impact Bulk Electric System Cyber Systems.
- CIP-012-2, effective July 1, strengthened protection for the real-time operational data exchanged between control centers.
Penalties for non-compliance can reach $1 million per violation, per day.
The challenge here is typically providing proof, with audit findings usually coming from an inability to produce evidence for a control that was already running, not a control that didn't exist in the first place.
Demonstrating compliance means showing exactly who accessed sensitive systems and when, on demand.
Vendor and Contractor Access Extends Past Your Perimeter
Energy and utility operations regularly run on external help.
Field technicians, OEM maintenance staff, and engineering contractors all require different levels of access to keep infrastructure online; third-party supply chain risk now accounts for roughly 45% of breaches, frequently through software and IT vendors.
At the same time, sensitive data is intentionally being leaked.
Telemetry, grid topology, asset configurations, and customer data flow out to cloud analytics platforms, SaaS ERP and billing systems, and OEM vendor monitoring portals. Each of these handoffs extends your defensible perimeter into environments you don't fully control.
Why Do Legacy DLP Solutions Fall Short for Energy and Utilities, and How Does Teramind Change the Game?
Most legacy DLP tools work the same way. They're heavily reliant on regular expressions, pattern matching, and fixed network perimeters.
They perform well when given a formatted string like an account number or a tax ID, and they'll flag or block the action against a fixed set of rules.
Energy and utility cybersecurity doesn't fit that model.
The data you need to protect takes the form of single-line diagrams, relay and switchgear documentation, SCADA HMI screens, substation configurations, and GIS and asset management exports.
There is no regular expression for a network topology diagram, which means a rules engine has nothing to catch.
Similarly, an engineer pasting a configuration file or a block of code into an AI assistant to troubleshoot it, or an OEM technician handling sensitive files inside a vendor environment you don't administer, doesn't trigger legacy DLP systems.
Why? Because their pattern-matching tools don't understand the context that makes those actions risky.
Teramind takes a different approach.
Instead of relying on static rules, it combines User Activity Monitoring (UAM), User and Entity Behavior Analytics (UEBA), and deep endpoint inspection to give 360-degree visibility across more than 15 system channels (web, email, IM, file transfers, cloud, USB, printing, and more).
| Capability & Risk Vector | Legacy DLP Solutions | Teramind Behavior-Centric DLP |
|---|---|---|
| Unstructured Operational Documentation | Misses network diagrams, relay and switchgear specs, HMI screen captures, and engineering drawings that carry no matchable pattern. | Uses real-time Optical Character Recognition (OCR) to extract and index text inside screen captures, applications, and engineering software. |
| Generative AI & Shadow Tools | Fails to recognize sensitive data pasted into web-based AI prompts or local LLMs. | Leverages Shadow AI Discovery and Generative AI DLP to detect and block operational data pasted into platforms like ChatGPT. |
| Anomalous Insider Behaviors | Generates high false-positive alerts based on fixed, binary rule triggers. | Maps behavioral baselines using UEBA to detect subtle deviations, like bulk export of asset records or off-hours access to control system documentation. |
| Vendor & Contractor Monitoring | Uses all-or-nothing access blocks that stall field maintenance and vendor work. | Enforces role-based permissions alongside Live View, session recording, and built-in remote control to halt active breaches. |
| Channel Coverage | Limited to basic web and network traffic. | Provides 360-degree coverage across 15+ system channels. |
| Physical & Cloud Exfiltration | Focuses narrowly on web uploads and standard email attachments. | Tracks web uploads, cloud platforms, USB drives, clipboard actions, and printed documents for full visibility. |
| Audit & Forensic Records | Provides basic system logs without operational context during an incident. | Delivers searchable keystroke logs, session playback, and audit-ready reports with evidence of who accessed what and when. |
What Are the Core Pillars of a Modern Energy and Utilities DLP Strategy?
An effective energy data loss prevention strategy must account for how engineers, control room operators, field crews, and vendors actually work.
That means continuous visibility, intelligent automation, and behavioral context, applied without adding friction to operational workflows.
1. Deep Optical Character Recognition (OCR) and Screen-Level Inspection
Much of the sensitive material in the energy sector isn't tidy, structured text, but instead exists in visual formats: single-line diagrams, GIS exports, HMI screens, relay and switchgear specifications, and substation configurations.
A tool that only reads file metadata or matches text strings has nothing to work with.
Teramind's patented Optical Character Recognition (OCR) reads and indexes on-screen text across applications in real time.
For example:
When an engineer takes a screenshot of a substation configuration or a portion of a control system diagram, the system recognizes the text inside the image and applies policy before that content can leave the endpoint.
2. Granular Access Controls for Vendors, Contractors, and Field Technicians
OEM maintenance staff, engineering contractors, and field crews all need real access to keep infrastructure running, which is why third-party supply chain risk accounts for such a large share of energy sector data breaches.
Broad network access hands external parties more than they need, while blanket blocking stalls the maintenance work that keeps the lights on.
There's a fine line between the two, and precise access controls help you walk it.
Teramind offers least-privilege, role-based access that grants each party only the access their job requires. This is backed by live session recording and file movement monitoring.
And in terms of preventing data exfiltration, Teramind can restrict clipboard pasting, block external downloads, and let your security team take remote control of a session the moment it detects a violation.
3. Behavior-Based Anomaly Detection (UEBA) for Insider Threats
Data loss often happens over time, and usually starts with a subtle shift in behavior, whether from a negligent employee, a malicious insider, or a compromised account.
Fixed rules miss these signals because the individual actions often look legitimate in isolation. The behavioral trend is what reveals the threat.
User and Entity Behavior Analytics (UEBA) establishes a behavioral baseline for each engineer, operator, and contractor, then watches for meaningful deviation from it, such as:
- A bulk export of asset records.
- Off-hours access to control system documentation.
- An unusual volume of activity from a vendor account.
When behavior crosses the line, Teramind can alert your security team in real-time or lock the endpoint session automatically. That same behavioral record becomes forensic evidence when an auditor asks what happened and when.
4. Shadow AI Detection and Generative AI Data Guardrails
Engineering and operations teams are adopting AI tools for code, analysis, documentation, and troubleshooting, often faster than security policy can keep pace.
The risk here is that configurations, scripts, and operational data get pasted into external models that you don't own.
The goal is AI governance without enforcing a blanket ban.
Teramind's AI DLP tool discovers unsanctioned AI use (including browser extensions, local LLMs, and SaaS AI platforms), inspects what users submit, and blocks sensitive uploads before they reach a third-party model.
5. Removable Media and Physical Exfiltration Controls
In isolated and air-gapped operational technology environments, removable media is regularly the routine transfer method. Field crews carry USB drives into substations because that is how the work gets done. A legacy DLP tool watching only web and email traffic sees none of it.
Teramind tracks USB and file transfer activity, monitors clipboard actions, and logs printed documents. Coverage extends to the physical paths that legacy tools can't see.
Why is Teramind the Ideal DLP Solution for Energy and Utilities Companies?
See Teramind's energy and utilities DLP tool in action → Take an interactive product tour
Teramind provides energy and utilities organizations with comprehensive endpoint-centric protection, combining real-time incident intervention, deep command-line visibility, and flexible deployment options tailored for critical infrastructure.
- Flexible Deployment Parity: Offers full feature parity across On-Premises, Private Cloud (AWS/Azure), and SaaS environments with native agent support for Windows, macOS, Linux, and Citrix/VDI — ensuring compatibility with isolated or air-gapped critical infrastructure networks.
- Terminal and Shell Governance: Captures full terminal transcripts across PowerShell, CMD, command-line interfaces, and autonomous scripts, monitoring low-level system commands and detecting superhuman execution speeds or unauthorized operations.
- Proactive Real-Time Intervention: Moves beyond passive alerts by automatically blocking policy violations, restricting unauthorized file transfers (USB, email attachments, web uploads, clipboard), or locking/terminating compromised endpoint sessions in real-time.
- Patented Optical Character Recognition (OCR): Extracts, indexes, and searches text embedded directly within live desktop screens, video recordings, and application images. Teramind enables visual DLP policy enforcement on proprietary schematics and operational documents.
- Built-In Remote Desktop Control: Allows security teams to take immediate control of remote endpoints to halt active breaches, isolate compromised machines, or lock down session access across distributed utility locations.
- Behavioral Analytics and Anomaly Detection: Establishes individual behavioral baselines over time to spot subtle insider threats, such as gradual data exfiltration, abnormal command velocity, or unexpected file compression.
- Forensic-Grade Evidentiary Recording: Captures live views, historical session video replays, and keystroke logs that stand as legally admissible, chain-of-custody evidence for internal investigations and compliance reporting.
- Shadow AI and AI Agent Governance: Inspects and blocks sensitive operational data typed, pasted, or uploaded into generative AI tools, LLMs, browser extensions, or command-line AI agents.
- SIEM and SOAR Ecosystem Integration: Streamlines security workflows by exporting real-time endpoint telemetry and risk scores directly to existing enterprise SIEM/SOAR platforms like Splunk and Microsoft Sentinel.
- Granular Privacy and Zero Trust Controls: Enforces role-based permissions for data access, dynamic sensitive data masking on screens, and configurable tracking schedules to ensure regulatory compliance without violating employee privacy standards.
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FAQs
How Does Teramind's Energy Utilities DLP Protect Non-Textual Data Like CAD Drawings, Single-Line Diagrams, and HMI Screenshots?
Legacy DLP tools rely on pattern matching and regular expressions, which fail to recognize visual engineering formats like substation configurations, relay specs, and SCADA HMI screenshots.
Teramind solves this using patented real-time Optical Character Recognition (OCR). It extracts, indexes, and searches text embedded directly within desktop screens, applications, and visual files to enforce DLP policies on proprietary schematics before data can be exfiltrated.
Can Teramind Be Deployed in Air-Gapped or Isolated Operational Technology (OT) Networks?
Yes. Teramind offers complete feature parity across On-Premises, Private Cloud (AWS/Azure), and SaaS deployments.
Native agents support Windows, macOS, Linux, and Citrix/VDI environments, allowing utilities to secure isolated, air-gapped control systems and OT environments without requiring outbound internet or public cloud connectivity.
How Does Energy Utilities DLP Streamline NERC CIP Audit Compliance?
With NERC CIP standards (including CIP-003-9 and CIP-012-2) carrying daily fines of up to $1 million per violation, audit failures often happen due to an inability to produce historical evidence.
Teramind provides forensic-grade video session playback, keystroke logs, and audit-ready reports. This delivers clear chain-of-custody proof of who accessed specific critical assets or control systems, and exactly what actions were taken.
How Does Teramind Mitigate Supply Chain Risks From Third-Party Vendors and Field Contractors?
Third-party supply chain vulnerabilities account for roughly 45% of cyber breaches in critical infrastructure.
Teramind applies least-privilege, role-based access combined with live session monitoring and automated controls. Security teams can restrict clipboard actions, block file downloads, track USB transfers, and take built-in remote desktop control to immediately halt an active breach during third-party maintenance.
Will Continuous Endpoint Monitoring Impact System Performance or Violate Privacy Standards?
Teramind is engineered for minimal endpoint overhead and includes granular Zero Trust and privacy controls.
Organizations can configure dynamic sensitive data masking on screens, define specific tracking schedules, and restrict employee monitoring to work-related applications or command-line activity. This protects critical operational data while respecting employee privacy and regulatory boundaries.
How Does Teramind Prevent Data Exfiltration Through Generative AI Tools and Command-Line Scripts?
Teramind's Shadow AI detection tool inspects data typed, pasted, or uploaded into web-based LLMs, browser extensions, SaaS tools, and terminal interfaces (PowerShell, CMD).
The agent automatically detects and blocks operational code, configurations, or sensitive documents before they reach third-party AI models or unauthorized execution layers.
