The Future of OT Security Isn’t Louder Scanning. It’s Smarter Modeling.
Critical Path Security has announced the development of a new AI-driven OT Digital Twin Engine designed to combine graph-based attack-path analysis, deterministic simulation, and Large Language Model-assisted reasoning to evaluate industrial environments without actively interacting with production systems. The platform was developed in response to a growing problem across Operational Technology and critical infrastructure environments: traditional assessment methodologies were never designed for fragile industrial systems that cannot safely tolerate aggressive scanning, enumeration, or exploitation activity. In many OT environments, a malformed packet can disrupt operations. A vulnerability scan against an aging PLC or RTU can destabilize communications. A failed authentication attempt can interfere with emergency operational access. The consequence of intrusive testing inside industrial infrastructure is fundamentally different than in enterprise IT environments. The new Digital Twin Engine was architected around a different model. Rather than interrogating live systems directly, the platform ingests existing operational and security artifacts already maintained…
