USPTO Patent Grant: Email Manipulation Detection Using Machine Learning

ChangeBridge: Patent Grants - Business Methods (G06Q)

Published March 24th, 2026

Detected March 25th, 2026

Summary

The USPTO has granted patent US12586068B2 to Walmart Apollo, LLC for systems and methods for detecting email manipulation using machine learning. The patent covers generating feature data from an email address and using machine learning models to compute manipulation indication data.

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What changed

The United States Patent and Trademark Office (USPTO) has granted patent US12586068B2 to Walmart Apollo, LLC, covering "Systems and methods for detecting email manipulation using machine learning." The patent details a method that involves receiving an email assessment request, generating feature data based on an email address, and utilizing machine learning models to compute manipulation indication data. This grant is a recognition of intellectual property in the field of AI-driven cybersecurity for email security.

This patent grant does not impose new regulatory obligations on businesses. However, companies developing or utilizing email security solutions, particularly those involving machine learning, may wish to review the patent claims to ensure their technologies do not infringe upon this intellectual property. The filing date was January 31, 2024, and the grant date is March 24, 2026.

What to do next

Review patent US12586068B2 for potential impact on email security technologies.

Source document (simplified)

← USPTO Patent Grants

Systems and methods for detecting email manipulation using machine learning

Grant US12586068B2 Kind: B2 Mar 24, 2026

Assignee

Walmart Apollo, LLC

Inventors

Weifeng Wang, Jingru Zhou, Wen Zhang, Uday B. Akella, Kazuo Matsumoto, Hui-Min Chen

Abstract

Systems and methods for detecting email manipulation using machine learning are disclosed. In some embodiments, a disclosed method includes: receiving, from a computing device, an email assessment request regarding an email address associated with a user; generating feature data based on the email address; computing, using at least one machine learning model, manipulation indication data of the email address based on the feature data; and transmitting, in response to the email assessment request, the manipulation indication data of the email address to the computing device.