AT&T AI Network Configuration Risk Analysis System
Summary
AT&T Intellectual Property I, L.P. filed patent application US20260111560A1 on October 21, 2024, published April 23, 2026, covering an AI system for network configuration risk analysis. The system obtains network provisioning configuration information, applies it to an AI model trained on historical configuration data, identifies potential adverse effects from implementing the configuration, and outputs associated risk levels. Five inventors are named: Ajay Singh, Christopher Rollwage, Yuriy Malakov, Ayush Kumar, and Michael Kaiser.
About this source
USPTO classification H04L covers transmission of digital information: network protocols, modulation schemes, wireless signal processing, coding, encryption in transit, and multiplexing. With 5G, 6G, and satellite internet driving new filings, H04L is one of the largest active patent classes. Every newly published application in H04L lands in this feed, around 215 a month. Applications publish 18 months after filing, so this feed reveals what MediaTek, Qualcomm, Ericsson, Samsung, Huawei, and dozens of smaller companies were working on in the prior year and a half. Watch this if you compete in networking hardware, advise telecoms on IP strategy, or scout acquisition targets in wireless infrastructure.
What changed
This document is a newly published patent application from the USPTO covering AT&T's AI-driven network configuration risk analysis system. The application describes technology that evaluates network provisioning configurations against trained AI models to identify potential adverse effects before implementation and assign risk levels. Patent applications do not create regulatory obligations or compliance requirements. The primary significance is informational for entities monitoring patent filings in the AI/network management technology space.
Archived snapshot
Apr 23, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
NETWORK PROVISIONING CHARACTERISTIC INTENT ANALYSIS ENGINE
Application US20260111560A1 Kind: A1 Apr 23, 2026
Assignee
AT&T Intellectual Property I, L.P.
Inventors
Ajay Singh, Christopher Rollwage, Yuriy Malakov, Ayush Kumar, Michael Kaiser
Abstract
Aspects of the subject disclosure may include, for example, obtaining first configuration information associated with a communications network, wherein the first configuration information is obtained responsive to a first provisioning request; applying the first configuration information to an AI process that utilizes an AI model that had been trained using first training data, wherein the AI process determines at least one first potential adverse effect that would be caused by implementing the first configuration information, and wherein the AI process further determines a first risk level associated with the at least one first potential adverse effect; receiving from the AI process the first risk level associated with the at least one first potential adverse effect; and outputting the first risk level. Other embodiments are disclosed.
CPC Classifications
G06F 21/577 H04L 41/0806 H04L 41/16 H04L 41/22 G06F 2221/034
Filing Date
2024-10-21
Application No.
18921996
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