Corsha Highlights OT Visibility and Machine Identity Focus in Industrial Security
Industrial control systems and operational technology (OT) environments have long operated in isolation from corporate IT security practices. Air-gapped networks, proprietary protocols, and the sheer difficulty of deploying updates to critical infrastructure made traditional IAM irrelevant. But as industrial systems become increasingly connected—powered by AI-driven optimization, remote monitoring, and cloud integration—that isolation is collapsing. And with it comes a critical realization: machine identity governance is now essential to industrial security.
Traditional OT networks assume that everything connected to them is trusted. A PLC communicating with a sensor, a SCADA system querying a historian, a remote monitoring agent pulling data from a plant floor—all operate without mutual authentication. If an attacker gains network access or compromises a single device, they can masquerade as any other entity on the network. The stakes are catastrophic: compromised industrial systems can shut down manufacturing, disrupt power grids, or trigger physical harm.
The introduction of AI and automation amplifies the risk. Industrial AI agents monitoring equipment, optimizing production schedules, and making autonomous adjustments to operating parameters are becoming commonplace. These agents interact with dozens of systems—PLCs, sensors, databases, cloud services, third-party vendors. Without machine identity controls, an agent performing legitimate optimization could be manipulated into performing malicious actions. A compromised agent could become a foothold for lateral movement into critical industrial infrastructure.
Corsha’s focus on OT visibility through the lens of machine identity addresses a critical gap. Organizations cannot secure what they cannot see. A comprehensive inventory of all machine identities—every agent, every API connection, every service account, every automated process—is the prerequisite for OT security. This visibility extends beyond IT networks into operational technology: understanding which AI agents or automated systems are communicating with which industrial systems, what permissions they hold, and whether those communications align with expected behavior.
Authentication at the OT boundary is essential. Industrial systems must verify the identity of any external agent or system requesting access or data. This means implementing cryptographic authentication (certificates, API keys, or other non-human identity credentials) at the OT perimeter. It means using network segmentation and microsegmentation to ensure that even if an attacker compromises one system, they cannot trivially access others. It means monitoring and alerting on suspicious machine identity activity in real-time.
The challenge is retrofitting these controls into environments designed for operational continuity, not security. Deploying certificate-based authentication to legacy PLCs requires careful planning. Monitoring machine identities without disrupting critical processes demands non-invasive observability. But the alternative—continuing to assume OT networks are safe because they’re disconnected—is increasingly untenable as AI-driven automation brings them into the modern IT ecosystem.
Organizations managing critical infrastructure must now think of machine identity governance as a safety and security imperative, not an optional compliance checkbox. AI agents and automated systems operating in industrial environments need to be cryptographically authenticated, continuously monitored, and subject to strict access controls. Industrial security has entered the era of non-human identity management, and visibility into that identity landscape is the foundation of defense.
Source: TipRanks