Operational Technology (OT) environments—the industrial control systems, manufacturing equipment, and critical infrastructure that power physical operations—have traditionally operated outside the scope of enterprise identity management. IT systems handle human users and cloud workloads. OT systems were assumed to be isolated, proprietary, and managed through specialized protocols that predated modern identity frameworks. But as AI agents begin automating industrial processes and orchestrating OT workflows, that separation is collapsing. Corsha’s recent focus on OT visibility and machine identity reflects a critical realization: non-human identity governance is becoming essential in environments where identity lapses can have physical consequences.
The vulnerability is straightforward. Industrial systems have long operated with implicit trust: if you have physical access to the network, you’re presumably authorized. Machine identity was barely a consideration because human operators would manually authenticate before making changes. But autonomous systems change that equation. An AI agent orchestrating manufacturing processes, managing HVAC systems, or controlling power distribution needs cryptographic identity. If that agent’s credentials are compromised or if the agent is hijacked, the consequences aren’t just data loss—they’re physical disruption, potential safety hazards, and operational downtime.
What makes OT machine identity particularly challenging is the legacy nature of the equipment involved. Industrial systems are often designed with decades-long lifecycles. A manufacturing controller installed ten years ago might not support modern authentication protocols. Yet that same controller is increasingly being orchestrated by AI agents that need to communicate across modern cloud infrastructure. The bridge between legacy OT systems and modern identity frameworks becomes a critical security layer. Corsha’s visibility tools are addressing exactly this gap: making it possible to see and govern machine identity interactions in environments that were never designed with digital identity in mind.
Industrial environments also have constraints that IT security frameworks aren’t designed for. Downtime is extremely expensive. A security incident that would require shutting down a cloud service for remediation could cost a manufacturing facility millions per minute. This means that OT machine identity governance must be non-disruptive, highly available, and designed to operate continuously without human intervention. Policies must be enforced in real-time without introducing latency that would disrupt physical processes.
The intersection of AI agents and industrial control systems creates a new risk vector. An agent managing manufacturing workflows needs granular, real-time access to dozens of systems: inventory management, equipment controllers, quality systems, shipping platforms. Each of those systems traditionally operated independently, with little need for cohesive identity governance. Now, an attacker who compromises the machine identity of a manufacturing orchestration agent gains access to an entire industrial ecosystem. Defending against this requires applying NHI security frameworks to infrastructure that was never designed with such governance in mind.
Corsha’s emphasis on OT visibility means making previously invisible machine-to-machine communication visible and auditable. When an AI agent communicates with an industrial controller, that interaction must be logged, validated, and analyzed for anomalies. Does this agent normally communicate with this controller at this time? Is the request pattern consistent with authorized operations? For industrial environments, this visibility is doubly critical because the stakes of compromise are higher and the operational constraints make traditional security response procedures difficult.
The broader implication is that machine identity security cannot be siloed to cloud infrastructure or IT systems. As AI agents increasingly orchestrate critical operations—whether in cloud environments, data centers, or factory floors—non-human identity governance becomes enterprise-wide. Organizations that treat NHI security as purely an IT or cloud concern will find themselves vulnerable in their most critical operational domains.
Source: TipRanks