Logic-Based Sifting for Human Verification Against AI Agents

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Solution Overview

Problem

Existing online security systems, such as CAPTCHA, are ineffective against advanced AI technologies like generative AI, which can easily bypass these challenges and compromise security.

Innovation Solution

Implementing a logic-based sifting system that generates complex logic problems, presented as stories with accompanying questions, to differentiate between humans and AI agents by requiring human-level reasoning.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional CAPTCHA tools are used for online security, then human users can be verified, but AI agents can easily defeat these tools and compromise security

Engineering Contradiction:

Improvesecurity verification reliabilityVSAvoidresistance to AI defeat

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent transforms the verification challenge from simple pattern recognition (traditional CAPTCHA) to formal logic problem solving. By changing the parameter of challenge complexity from visual/textual pattern matching to logical reasoning requiring proofs, the system maintains reliability while increasing resistance to AI defeat, as current AI systems struggle with formal logic proofs compared to humans

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

Instead of making verification easier for humans with simple CAPTCHA, the patent inverts the approach by creating challenges that are naturally suited to human logical reasoning capabilities while being difficult for AI. The system uses logic problems that require creative proof construction, leveraging human strengths in formal reasoning rather than relying on pattern recognition that AI excels at

Inventive Principle:

Principle #13The other way round (Inversion)

2Reliability

If complex logic problems are presented to differentiate humans from AI, then AI agents are blocked, but the system complexity increases

Engineering Contradiction:

ImproveAI detection accuracyVSAvoidchallenge generation and evaluation system complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent extracts the core verification function from complex multimedia CAPTCHA systems and reduces it to pure logic problem presentation and evaluation. By taking out unnecessary visual and textual elements, the system achieves high AI detection accuracy through focused logic challenges while reducing overall system complexity to essential components: problem generation, presentation, and proof verification

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system uses automated logic problem generation and evaluation mechanisms that self-manage the verification process. The complexity of generating and evaluating logic problems is handled automatically by the system itself, reducing the need for manual intervention and simplifying operational complexity while maintaining high detection accuracy

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS20250335560A1Logical automated systematic sifting of ais

Publication Date: 2025.10.30 DEEP DETECTION LLC

AI summary

A logic based sifting system and method. A system includes: a memory and processor configured to control access to a resource according to a process that includes: generating a logic problem; displaying a logic based story based on the logic problem; displaying at least one question relating to the story; and controlling access to the resource based on a received response to the at least one question.