Spatial Code Authentication for Secure Distributed Deployment

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Solution Overview

Problem

Distributed programming environments face challenges in securing production environments from unauthorized code overwrites and malicious code injection, leading to instability and potential compromise.

Innovation Solution

A security system utilizing spatial computing devices for code identification, biometric authentication, and AI-driven code scanning to ensure secure development and deployment, including facial biometric data extraction, code snippet analysis, and automated merging with smart contract compliance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If distributed programming teams operate in different environments, then development flexibility and collaboration are improved, but security risks increase due to difficulty in controlling production environment code from being overwritten by unidentified code

Engineering Contradiction:

Improvedevelopment flexibilityVSAvoidproduction environment security

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The system segments code by creating unique digital fingerprints for each code snippet and associates them with specific developers and environments. This segmentation allows tracking and control of code across distributed environments while maintaining security through individual code identification and authentication.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system introduces an intermediary security layer that mediates between development environments and production environments. This intermediary verifies developer identity through biometric authentication and validates code before allowing deployment, preventing unauthorized code overwrites while enabling distributed development.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Ease of operation

If distributed programming teams operate in different environments, then development accessibility is improved, but security risks increase due to potential injection of malicious code into production code environment

Engineering Contradiction:

Improvedevelopment accessibilityVSAvoidmalicious code injection

Core Design Contradiction:

Ease of operationVSObject-affected harmful factors

Solution Approach 1:

The system performs preliminary actions by authenticating developer identity through biometric verification before allowing code submission. It also pre-validates code snippets by comparing their digital fingerprints against the codebase to detect potential malicious injections before they reach the production environment.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements feedback mechanisms that continuously monitor code submissions and provide security validation. The AI component analyzes code snippets and provides feedback on potential security issues, preventing malicious code injection while maintaining accessible distributed development.

Inventive Principle:

Principle #23Feedback

3Productivity

If code segments are used for development, then development efficiency is improved, but security risks increase as developers may not be aware of injection attacks or hard-coded credentials within the code segments

Engineering Contradiction:

Improvedevelopment efficiencyVSAvoidcode security vulnerabilities

Core Design Contradiction:

ProductivityVSDifficulty of detecting and measuring

Solution Approach 1:

The system enables self-service security checking where the AI component automatically analyzes code snippets for vulnerabilities including injection attacks and hard-coded credentials. This self-service security validation occurs without requiring developer expertise in security scanning, maintaining development efficiency while detecting vulnerabilities.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system replaces manual code review mechanisms with automated AI-driven security scanning. The AI component substitutes for human developers in detecting security vulnerabilities within code segments, making vulnerability detection easier and more reliable while preserving development efficiency.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20260064816A1Spatial computing source code development security system

Publication Date: 2026.03.05 BANK OF AMERICA CORP

AI summary

Methods for securing a spatial computing distributed development and deployment environment are provided. Methods may include identifying, by a first developer operating a first spatial computing device, the presence of one or more other developers operating one or more other spatial computing devices within a field of view of the first developer. Methods may also include extracting, by the first spatial computing device, biometric data from each of the one or more other developers. Methods may also include determining, by the first spatial computing device, an identity of the one or more developers by comparing the extracted biometric data to stored biometric data within a biometric database. Methods may also include retrieving, by the first spatial computing device, one or more source code tokens created by the one or more developers. Methods may also include rendering, at the first spatial computing device, the retrieved one or more source code tokens.