Automated Email Protocol Analysis for Privacy-Safe Failing-Sender Detection

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Solution Overview

Problem

Large organizations face challenges in managing email authentication protocols, leading to misconfigurations and vulnerabilities that malicious actors exploit for phishing and spoofing attacks, and identifying failing senders within vast email streams demands significant resources and expertise.

Innovation Solution

A secure server analyzes email data to identify service administrators responsible for frequently failing email protocols by examining message headers and content, using machine learning models to predict likely administrators, while maintaining privacy by not revealing personal information.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If automated email protocol analysis is implemented, then identification of failing senders is improved, but privacy protection deteriorates

Engineering Contradiction:

Improveidentification efficiency of failing sendersVSAvoidprivacy protection of personal information

Core Design Contradiction:

ProductivityVSLoss of information

Solution Approach 1:

The patent extracts only the necessary analysis functionality from the email data, separating the identification task from the personal information. By using techniques like redaction and selective extraction, the system obtains failing sender identification capability while removing sensitive personal details, thus resolving the contradiction between productivity and privacy protection.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent introduces an intermediary processing layer that analyzes email data without direct access to personal information. This intermediary mechanism enables failing sender identification while acting as a buffer that prevents direct exposure of sensitive data, balancing productivity needs with privacy requirements.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Measurement precision

If manual analysis of email data is performed, then accuracy of identification is improved, but resource consumption increases

Engineering Contradiction:

Improveaccuracy of failing sender identificationVSAvoidresource consumption for analysis

Core Design Contradiction:

Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The patent implements automated self-service analysis where the system performs its own identification tasks without requiring manual human intervention. The automated protocol analysis conducts comprehensive examinations of email data, achieving high accuracy while eliminating the resource-intensive manual analysis process.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical analysis with automated computational systems. By substituting human expertise with algorithmic processing, the system maintains high identification accuracy while dramatically reducing resource consumption associated with manual examination of email streams.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS12407638B2Automated email protocol analyzer in a privacy-safe environment

Publication Date: 2025.09.02 VALIMAIL INC

AI summary

A computing server may receive an authorization from a domain owner to gain access to email data of the domain owner. The email data may be hosted by a mailbox service provider on behalf of the domain owner. The computing server may determine email protocol check results of the email data retrieved from the mailbox service provider. The computing server may determine that a sender has a number of failed emails in the email data that fail the email protocol check. The computing server may identify, from the email data, one or more recipients of the domain owner to whom the failed emails intend to be sent. The computing server may notify the domain owner regarding information about the one or more recipients.