Protecting the AI-powered Grid: The Case for Private Mobile Network Security
AI is reshaping utility operations, but many deployments still depend on public or legacy networks not designed for mission-critical OT, ...
Home » Palo Alto Networks
Research, tools and industry intelligence for securing AI-enabled private networks across critical infrastructure.
Private wireless, edge AI and connected grid infrastructure are creating new opportunities for utilities, but they also expand the security boundary across IT, OT, field assets and automated operations. Explore the TeckNexus research and intelligence developed with support from Palo Alto Networks.
AI is reshaping utility operations, but many deployments still depend on public or legacy networks not designed for mission-critical OT, ...
Volt Typhoon wasn't just a cyberattack - it was a strategic warning about the IT/OT boundary every utility now operates ...
Edge AI is reshaping how utilities manage the grid — moving intelligence from the control room to the substation itself. ...
AI is moving from the data center to the substation — and the attack surface is expanding with it. Anterix, ...
Airports increasingly depend on private wireless, AI, connected operational systems, autonomous equipment and shared infrastructure. Security therefore has to extend across airport authorities, airlines, ground handlers, contractors, devices and operational technology.
From Singapore to Schiphol, airports are embracing private networks for airports alongside AI and digital twins to drive operational efficiency, ...
Connectivity is transforming aviation from the ground up. Airports are deploying private 5G, Wi-Fi 6, edge computing, and IoT to ...
Aviation is no longer a siloed industry - it’s a globally connected ecosystem where airports, airlines, regulators, telecom operators, and ...
Airport ground operations — from baggage handling and fueling to aircraft turnaround - are undergoing rapid digital transformation. Powered by ...
Utilities and airports deploying AI on private networks face a risk most security frameworks miss: without edge-native zero trust, the AI itself becomes unreliable. This article frames zero trust not as a security cost, but as the precondition for AI outputs to be operationally trusted - across device identity, data ...
40+ independent tools to size networks, prioritize AI use cases, and model ROI — grounded in deployment evidence, across manufacturing, mining, ports, airports & utilities.
Explore all 40+ tools →