PALO ALTO NETWORKS SECURITY INTELLIGENCE

Research, tools and industry intelligence for securing AI-enabled private networks across critical infrastructure.

UTILITIES SECURITY INTELLIGENCE

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.

Palo Alto Networks Utility Security Insight Series
Why Utilities Can No Longer Afford to Run AI on Public Networks
AIPrivate NetworksSecurityConnected UtilitiesCybersecurity

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, ...

Zero Trust for the Grid: Why IT/OT Convergence Demands a New Security Model
Private NetworksSecurityConnected UtilitiesCybersecurityPalo Alto Networks

Zero Trust for the Grid: Why IT/OT Convergence Demands a New Security Model

Volt Typhoon wasn't just a cyberattack - it was a strategic warning about the IT/OT boundary every utility now operates ...

Edge AI in the Substation: The New Frontier of Grid Intelligence
AIEdge/MECPrivate NetworksSecurityConnected Utilities

Edge AI in the Substation: The New Frontier of Grid Intelligence

Edge AI is reshaping how utilities manage the grid — moving intelligence from the control room to the substation itself. ...

The Grid Is Getting Smarter. Is Your Security Ready?
AIPrivate NetworksSecurityAnterixConnected Utilities

The Grid Is Getting Smarter. Is Your Security Ready?

AI is moving from the data center to the substation — and the attack surface is expanding with it. Anterix, ...

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AIRPORTS AND AVIATION SECURITY INTELLIGENCE

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.

Palo Alto Networks Airport Security Insight Series View all →
Private Networks for Airports: 12 Global Deployments Defining the Future of Aviation
AIAutomationDigital TwinEdge/MECIoT

Private Networks for Airports: 12 Global Deployments Defining the Future of Aviation

From Singapore to Schiphol, airports are embracing private networks for airports alongside AI and digital twins to drive operational efficiency, ...

How Connectivity Will Create a More Seamless and Efficient Experience in Aviation: Smarter Journeys, Lower Costs
5GAIARAutomationDigital Twin

How Connectivity Will Create a More Seamless and Efficient Experience in Aviation: Smarter Journeys, Lower Costs

Connectivity is transforming aviation from the ground up. Airports are deploying private 5G, Wi-Fi 6, edge computing, and IoT to ...

Stakeholder Collaboration in Aviation: Why Connectivity Must Extend Across the Ecosystem
5GAIARAutomationDigital Twin

Stakeholder Collaboration in Aviation: Why Connectivity Must Extend Across the Ecosystem

Aviation is no longer a siloed industry - it’s a globally connected ecosystem where airports, airlines, regulators, telecom operators, and ...

Digital Transformation in Airport Ground Operations: IoT, Automation & Connectivity
5GAIARAutomationDigital Twin

Digital Transformation in Airport Ground Operations: IoT, Automation & Connectivity

Airport ground operations — from baggage handling and fueling to aircraft turnaround - are undergoing rapid digital transformation. Powered by ...

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Security Across Critical Infrastructure

Zero Trust Security at the Edge Is Not Optional - It’s the Precondition for AI to Work
Private NetworksSecurity

Zero Trust Security at the Edge Is Not Optional – It’s the Precondition for AI to Work

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 ...

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