Dynamic DMARC Middleware for Email Policy Override
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Solution Overview
Problem
Current DMARC solutions are inefficient in managing exceptions and enforcing policies, leading to legitimate emails being blocked due to failed SPF or DKIM checks, resulting in low adoption rates and increased management complexity.
Innovation Solution
The implementation of a dynamic DMARC middleware within the DNS infrastructure allows for external management of local policy overrides, enabling automatic deployment and enforcement of DMARC policies, ensuring legitimate emails from trusted sources are delivered while blocking untrusted emails, even if they fail DMARC checks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If DMARC policies are strictly enforced to block spoofed emails, then email security is improved, but legitimate emails from trusted domains may be blocked
Solution Approach 1:
The patent introduces an intermediary exception handling mechanism that sits between the strict DMARC policy enforcement and the final email delivery decision. This intermediary layer evaluates whether failing emails should be blocked or allowed based on additional criteria, preventing false positives while maintaining security for truly malicious emails.
Solution Approach 2:
The patent implements dynamic policy enforcement where DMARC policies can be adjusted based on domain trust levels, email characteristics, and contextual factors. Rather than applying a static block/allow decision, the system dynamically evaluates each email against multiple criteria to determine the appropriate action, reducing false positives while maintaining security.
2Object-affected harmful factors
If exception handling is implemented to allow legitimate emails, then false positives are reduced, but management becomes tedious and cumbersome
Solution Approach 1:
The patent implements automated exception handling mechanisms that evaluate emails against predefined criteria and automatically determine whether to apply exceptions without requiring manual intervention. The system self-manages the exception process by analyzing email characteristics, domain reputation, and other factors to make automated decisions, eliminating the need for tedious manual exception management.
Solution Approach 2:
The patent incorporates feedback loops where the system learns from email evaluation outcomes and automatically adjusts exception handling policies. By analyzing patterns in email traffic, delivery outcomes, and security threats, the system refines its exception criteria over time, reducing false positives while minimizing manual management overhead through adaptive, data-driven decision-making.
3Reliability
If manual DMARC exception management is used, then control over email delivery is maintained, but system complexity and management overhead increase
Solution Approach 1:
The patent segments the DMARC policy enforcement into multiple independent evaluation layers: initial DMARC check, exception criteria evaluation, automated decision-making, and fallback mechanisms. Each layer handles specific aspects of email evaluation independently, reducing overall system complexity by breaking down the monolithic manual management process into manageable, automated components with clear separation of concerns.
Data Source
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AI summary
A dynamic Domain-based Message Authentication, Reporting, and Conformance (DMARC) enforcement solution is disclosed. A mail transfer agent (MTA) receives (301) an email and obtains (305) an originating email domain from the email. The MTA queries (310) a dynamic DMARC module (which can be implemented on a domain name system (DNS) infrastructure or the MTA) about any local policy override associated with the originating email domain. DMARC policy overrides can be published from a source system and stored locally to the dynamic DMARC module (e.g., on the DNS infrastructure or the MTA). The MTA receives a response which contains the local policy override published from the source system and dynamically overrides (315) the fact that the email had failed DMARC. In this way, an email which failed DMARC can still be dynamically considered and delivered if a local policy override that is published from a source system indicates that it should be delivered.