CISA Publishes Security Guidance for Using AI in OT
Global cybersecurity agencies published guidance regarding AI deployments in operational technology, a backbone of critical infrastructure.
Operational Technology controls physical processes, so cyber risks can disrupt safety, reliability, and availability across connected industrial systems.
Search across headline titles and summaries.
Background for this topic.
Operational technology (OT) comprises hardware and software that monitor and control physical processes—such as PLCs, RTUs, HMIs, SCADA, and DCS—in manufacturing, utilities, transport, and buildings. Its assets include controllers, sensors, actuators, engineering workstations, and the networks linking them. OT depends on precise timing, reliable communications, and safe states; outages or incorrect commands can stop production or affect physical safety, even when little sensitive data is involved.
Security concerns arise where OT connects to enterprise networks, vendor remote-access paths, or internet-facing services. Legacy protocols and long-lived devices may lack authentication, encryption, logging, or practical patching options. A compromise could alter setpoints, inhibit alarms, or disrupt availability, but impact depends on process design and safeguards. Defenders typically segment control networks, restrict and monitor remote access, maintain asset and dependency inventories, use passive monitoring where active scanning is risky, and test recovery and safe manual operation. Vulnerability management must account for maintenance windows, vendor support, and safety validation rather than treating every patch like IT.
Global cybersecurity agencies published guidance regarding AI deployments in operational technology, a backbone of critical infrastructure.
AI in OT May Trigger Cascading Infrastructure FailuresThe U.S. cyber defense agency warned that machine learning and large language model deployments can introduce new attack surfaces across critical infrastructure sectors in a document setting out principles for safely integrating AI into operational technology.
Cybersecurity agencies have issued guidance for securely integrating AI into OT systems
OT environments rely on aging systems, shared accounts, and remote access, making weak or reused passwords a major attack vector. Specops Software explains how stronger password policies and continuous checks for compromised credentials help secure critical OT infrastructure. [...]