Operational Technology security does not fail in the same way IT security fails. When an IT incident occurs, the impact is usually informational: data loss, service disruption, reputational damage. When an OT incident occurs, the impact is physical. Production lines stop. Safety margins erode. Environmental controls malfunction. In some sectors, people can get hurt.
This distinction changes everything about how detection and response must operate.nMost MDR services were built for environments where endpoints can be monitored aggressively, systems can be isolated automatically, and remediation can proceed without immediate operational consequences. OT environments violate all three assumptions.
As IT and OT continue to converge, this tension has become one of the most difficult challenges in modern cybersecurity: how to detect and respond to threats in operational environments without becoming the source of disruption yourself.
A Different Way to Think About OT MDR Capability
Rather than asking “Does this provider support OT?”, a more useful question is:
Where does this provider sit in the IT–OT continuum?
OT-focused MDR providers tend to cluster into four models:
- OT-native visibility specialists – deep protocol and asset awareness, limited response
- IT-led MDR with OT extensions – strong SOC operations, variable OT depth
- Hybrid IT/OT responders – balanced detection and response across domains
- Risk-driven correlators – focus on attack paths spanning identity, IT, and OT
Leading MDR Providers for Operational Technology Environments
1. DeepSeas
DeepSeas approaches OT MDR by treating operational environments as part of a continuous attack surface rather than a separate security domain.
Instead of centering detection exclusively on industrial telemetry, DeepSeas focuses on how adversaries traverse identity systems, enterprise infrastructure, and remote access pathways before reaching OT assets. This model is particularly relevant in environments where OT compromise is the consequence of IT failure.
DeepSeas MDR engagements typically emphasize early-stage detection: credential misuse, anomalous access patterns, segmentation violations, and privilege escalation that could enable operational impact later. OT telemetry is used to validate context, not as the sole detection signal.
Response strategy is deliberately conservative. Rather than triggering automated containment inside operational networks, analysts coordinate with operations teams to validate risk, assess safety implications, and apply targeted controls.
This makes DeepSeas a strong fit for organizations that view OT risk as inseparable from identity and enterprise security posture.
2. Dragos
Dragos operates from a fundamentally OT-first worldview.
Rather than approaching operational environments through an IT security lens, Dragos builds its MDR capabilities around industrial process awareness. The platform is designed to understand how PLCs, HMIs, historians, and control networks normally behave, and to surface deviations that indicate reconnaissance, unauthorized control activity, or early-stage manipulation.
Where many MDR services rely on endpoint telemetry and identity logs, Dragos derives signal from OT-native communication patterns. Its detection logic is deeply tied to industrial protocols and process flows, allowing analysts to identify threats that would be invisible to enterprise SOC tooling.
Another distinguishing element is Dragos’ threat intelligence program, which focuses specifically on adversaries targeting industrial environments. This research feeds directly into detection models and response playbooks, giving customers visibility into activity associated with known OT-focused threat groups.
Operationally, Dragos MDR engagements tend to concentrate on what happens inside the control environment itself: suspicious controller commands, unauthorized device interactions, and abnormal operational states. Response workflows are designed to preserve process stability while enabling investigation.
Dragos is most commonly adopted by organizations where OT systems represent the primary risk surface, such as energy, manufacturing, and critical infrastructure, and where deep industrial telemetry is required to understand potential impact.
3. Kudelski Security
Kudelski Security approaches OT MDR from a hybrid operations perspective, blending traditional managed SOC capabilities with industrial-aware detection and response.
Rather than isolating OT security into a separate function, Kudelski integrates operational environments into broader security operations, allowing analysts to follow incidents as they move between corporate IT and industrial networks.
This model is particularly relevant for organizations where OT compromise is expected to originate in enterprise systems, for example through VPN access, remote engineering workstations, or shared identity infrastructure.
Kudelski emphasizes coordinated response across domains. During incidents, its MDR teams work with both IT security and operational stakeholders to assess impact, validate threats, and implement controls without disrupting production.
Its services are often used by enterprises with geographically distributed facilities that require centralized monitoring paired with localized response coordination.
Kudelski tends to fit organizations seeking MDR that can bridge enterprise SOC workflows with OT incident handling.
4. Nozomi Networks
Nozomi Networks is best known for asset visibility and anomaly detection across industrial networks.
Its strength lies in building detailed inventories of OT devices and mapping how those assets communicate in normal conditions. By establishing behavioral baselines, Nozomi enables MDR teams to identify deviations such as unexpected connections, new devices, or unusual protocol activity.
Nozomi’s MDR model is centered on passive network monitoring, making it suitable for environments where active scanning is not acceptable. Its platform is frequently used to surface blind spots in flat OT networks and highlight segmentation failures that could enable lateral movement.
While Nozomi provides strong situational awareness inside operational environments, it is most effective when paired with enterprise security telemetry to give full visibility into attack progression.
Nozomi is typically selected by organizations that prioritize OT asset discovery and network-level anomaly detection as the foundation of their MDR strategy.
5. Claroty
Claroty focuses on securing industrial and cyber-physical systems through deep visibility into OT network traffic and device behavior.
Its MDR capabilities emphasize asset identification, vulnerability context, and threat detection across operational environments. Claroty is particularly strong in environments with complex industrial architectures, offering visibility into both legacy and modern OT systems.
Claroty’s platform is often used to uncover undocumented connections between IT and OT networks, helping organizations understand how attackers could pivot into operational zones.
In MDR deployments, Claroty contributes industrial context that supports investigation and response, especially during incidents where determining operational impact is critical.
Claroty is commonly adopted by enterprises seeking comprehensive OT network monitoring paired with vulnerability awareness.
6. Adelard
Adelard brings a safety-engineering perspective to OT security, which materially differentiates it from technology-first MDR providers.
Rather than focusing solely on threat detection, Adelard emphasizes system resilience: understanding how cyber events interact with safety controls, operational processes, and failure modes.
Its MDR-related work often intersects with risk assessment, safety cases, and operational assurance, making it particularly relevant in environments where cyber incidents could have serious physical consequences.
Adelard engagements typically involve close collaboration with engineering teams to evaluate how security controls affect system behavior and to design response strategies that preserve safety margins.
Adelard fits organizations operating safety-critical environments that require MDR aligned with formal risk and resilience frameworks.
7. Network Perception
Network Perception focuses on network exposure analysis rather than continuous threat detection.
Its technology maps access relationships across IT and OT environments, helping organizations understand exactly which systems can reach which assets, and where segmentation breaks down.
In OT contexts, this capability is highly valuable for identifying unintended trust paths between enterprise systems and operational networks. MDR teams use this visibility to assess how attackers could move laterally and to validate segmentation controls.
Network Perception is often deployed alongside MDR services to strengthen preventive controls by closing network exposure gaps before they are exploited.
It is most commonly used by organizations prioritizing segmentation validation and access control hygiene as part of their OT security strategy.
OT Security Is Not a Subset of IT Security
A common mistake in OT protection is treating industrial environments as simply “IT with older devices.”
They are not.
OT environments differ in ways that fundamentally affect detection and response:
- Many assets are unmanaged, unpatchable, or vendor-locked
- Communication patterns are deterministic and protocol-specific
- Network segmentation often exists in theory but not in practice
- Access paths are shaped by operational convenience, not security design
- Incident response actions can have physical side effects
Traditional MDR platforms tend to rely on telemetry density: agents, logs, EDR signals, cloud APIs. OT environments provide far less of this data, and much of what is available looks anomalous to tools trained on enterprise baselines.
Where OT Incidents Actually Begin
Another misconception is that OT incidents originate inside OT networks.
In most modern cases, they do not.
Operational disruption is usually the end of the attack, not the beginning.
Real-world OT incidents commonly follow this pattern:
- initial compromise occurs in enterprise IT (phishing, VPN access, stolen credentials)
- attackers explore identity systems and shared access infrastructure
- trust relationships between IT and OT are abused
- attackers enter operational zones using legitimate paths
- malicious activity manifests as operational disruption
From a detection standpoint, this means that focusing exclusively on industrial protocols is insufficient. By the time suspicious activity appears in OT telemetry, the attacker may already have deep situational awareness.
Effective OT MDR must therefore observe the seams between environments: identity systems, remote access paths, jump hosts, and segmentation controls.
This is where many traditional OT security tools, and many MDR services, fall short.
What “Response” Means in OT MDR
In IT MDR, response often means isolation.
In OT MDR, response means restraint.
Actions that are routine in corporate environments, blocking communication, disabling accounts, and quarantining devices, can have cascading operational consequences when applied blindly to OT systems.
As a result, OT-capable MDR services must emphasize:
- investigative confidence before action
- coordination with operations and engineering teams
- staged containment rather than immediate isolation
- preservation of safety and availability as primary constraints
The quality of MDR in OT environments is often revealed not by how fast a provider reacts, but by how well they know when not to react.
Frequently Asked Questions
What makes MDR for OT different from standard MDR?
OT MDR operates under physical constraints that don’t exist in IT. Many devices can’t run agents, patching is slow, and containment actions can disrupt production or safety systems. Effective OT MDR relies more on passive network monitoring, identity correlation, and staged response. The goal is to detect threats early without destabilizing industrial processes.
Can OT MDR work without installing agents on devices?
Yes, and in many cases it must. Most OT MDR programs rely on passive network telemetry to identify assets and abnormal behavior. Some providers also correlate this with enterprise identity and remote access logs. Agentless visibility is essential in environments where controllers, sensors, and legacy systems cannot support endpoint software.
Where do most OT incidents actually start?
Most OT incidents begin in enterprise IT, not in control networks. Attackers typically compromise user credentials, VPN access, or remote engineering systems first, then pivot into operational environments through shared trust paths. This is why MDR for OT must monitor identity systems and IT infrastructure alongside industrial networks.
How should response be handled in OT environments?
Response must be deliberate and coordinated. Automated isolation that works in IT can cause physical disruption in OT. MDR providers should validate threats carefully, involve operations teams, and apply staged containment. In OT, knowing when not to act is as important as acting quickly.
Is OT MDR only relevant for heavy industry?
No. OT MDR applies anywhere cyber systems control physical outcomes: manufacturing, energy, utilities, transportation, smart buildings, and even some healthcare environments. Any organization with cyber-physical processes benefits from MDR that understands operational impact.
Peyman Khosravani is a seasoned expert in blockchain, digital transformation, and emerging technologies, with a strong focus on innovation in finance, business, and marketing. With a robust background in blockchain and decentralized finance (DeFi), Peyman has successfully guided global organizations in refining digital strategies and optimizing data-driven decision-making. His work emphasizes leveraging technology for societal impact, focusing on fairness, justice, and transparency. A passionate advocate for the transformative power of digital tools, Peyman’s expertise spans across helping startups and established businesses navigate digital landscapes, drive growth, and stay ahead of industry trends. His insights into analytics and communication empower companies to effectively connect with customers and harness data to fuel their success in an ever-evolving digital world.
