AT&T highlights IoT network intelligence at CES 2026
At CES 2026, AT&T outlined how it sees network-level intelligence playing a larger role in managing large-scale IoT deployments. The company introduced what it calls IoT Network Intelligence, positioning it as a way for enterprises to gain deeper visibility into how connected devices behave on cellular networks.
For eeNews Europe readers working on embedded systems, industrial IoT, or connected infrastructure, the announcement is relevant because network-side performance data is increasingly used to complement device-level diagnostics. As deployments scale across regions, visibility into connectivity behaviour can potentially influence system design, maintenance strategies, and service-level planning.
Network-level insight for IoT deployments
AT&T’s IoT Network Intelligence is described as a network-based service that exposes performance metrics for IoT devices connected via the company’s 4G and 5G infrastructure. The initial offering, IoT Network Intelligence Standard, focuses on providing access to key performance indicators such as signal strength, throughput, and latency.
Rather than relying solely on data collected at the device or application layer, the service aggregates information from the cellular network itself. According to AT&T, this approach is intended to help enterprises identify connectivity-related issues more quickly and understand how devices perform across different geographic locations.
The service is presented through a visual dashboard that allows users to analyse trends, spot anomalies, and compare performance across fleets of devices. AT&T suggests that such insight could potentially support troubleshooting workflows and longer-term optimisation of IoT systems.
Potential implications for industrial and enterprise IoT
AT&T indicated that IoT Network Intelligence is expected to evolve to address sector-specific requirements, including healthcare, transportation, and industrial environments. These sectors often operate distributed systems where connectivity performance can directly affect reliability and compliance.
The company also linked the platform to future security-oriented capabilities, referencing its network-based Mobile Threat and Anomaly Detection technology. By applying machine learning and threat intelligence at the network level, AT&T aims to detect unusual behaviour patterns that may indicate faults or security issues, although specific deployment timelines were not detailed.
Commenting on the launch, Cameron Coursey, vice president of Connected Solutions at AT&T, said: “With AT&T IoT Network Intelligence, we’re providing our customers with the tools they need to gain deeper insights into their IoT operations. This solution is a game-changer, offering enhanced clarity that will drive efficiency and innovation across industries.”
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