AI System for Automating Sarbanes-Oxley Controls

ChangeBridge: Patent Apps - Business Methods (G06Q)

Detected March 26th, 2026

Summary

The USPTO has published a patent application (US20260087500A1) for an AI-driven system designed to automate Sarbanes-Oxley (SOX) controls. The application, filed by AT&T Intellectual Property, describes methods for using generative AI to propose corporate governance controls for software applications.

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What changed

This document is a patent application, not a regulatory rule or guidance. It describes an "ARTIFICIAL INTELLIGENCE-DRIVEN SYSTEMS AND METHODS FOR AUTOMATING SARBANES-OXLEY (SOX) CONTROLS" filed by AT&T Intellectual Property. The core innovation involves using generative AI to analyze historic corporate governance data and software application characteristics to propose appropriate controls, thereby aiming to streamline SOX compliance.

While this is a patent application and does not impose new regulatory obligations, it highlights technological advancements relevant to SOX compliance. Companies involved in software development and corporate governance may find the described AI approaches useful for enhancing their internal control frameworks. The application was filed on September 23, 2024, and published with a potential application date of March 26, 2026.

Source document (simplified)

← USPTO Patent Applications

ARTIFICIAL INTELLIGENCE-DRIVEN SYSTEMS AND METHODS FOR AUTOMATING SARBANES-OXLEY (SOX) CONTROLS

Application US20260087500A1 Kind: A1 Mar 26, 2026

Assignee

AT&T Intellectual Property I, L.P.

Inventors

Preston Landell, Mitchell Gunnels, Andrew Markus, Karthic Raghavan

Abstract

Aspects of the subject disclosure may include, for example, a device comprising: a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, the operations comprising: obtaining historic data indicative of corporate governance controls that have been applied to a plurality of software applications; obtaining characterization data indicative of operating features associated with a software application under test; and inputting the historic data and the characterization data to a first generative artificial intelligence (AI) process, wherein the first generative AI process outputs one or more proposed corporate governance controls to be applied to the software application under test. Other embodiments are disclosed.