Compliance Tokenization Using Cyber Resilience Identities

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Solution Overview

Problem

Existing cybersecurity systems lack integrated incident response capabilities, operate in isolation, and fail to adapt to evolving threats, leading to delayed responses, fragmented visibility, and increased exposure to cyber threats due to static defenses.

Innovation Solution

A customized cybersecurity framework that models cyber resilience data using identities and metadata, providing dynamic monitoring and proactive threat detection, and integrates with decentralized ledgers for secure data sharing and real-time threat intelligence.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If cybersecurity systems operate in isolation with static defenses, then system simplicity is maintained, but response capability and adaptability to evolving threats deteriorate

Engineering Contradiction:
Improveadaptability to evolving threatsVSAvoidsystem integration complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system segments cyber resilience data into distinct categories (protective entity data, protective action data, incident data, claim data) and models them as separate data structures. This allows each segment to be independently managed and updated, enabling adaptability to evolving threats without requiring complete system redesign, thus resolving the contradiction between adaptability and complexity.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent implements dynamic monitoring and proactive threat detection through continuous data collection and processing. The system evolves from static defenses to dynamic responses by continuously updating resilience identities and metadata, enabling real-time adaptation to changing threat landscapes while maintaining manageable complexity through structured data models.

Inventive Principle:
Principle #15Dynamics

2Difficulty of detecting and measuring

If comprehensive monitoring and data collection are implemented, then threat detection capability improves, but data management complexity increases

Engineering Contradiction:
Improvethreat detection capabilityVSAvoiddata structure complexity
Core Design Contradiction:
Difficulty of detecting and measuringVSDevice complexity

Solution Approach 1:

The resilience identity data model serves multiple functions simultaneously: it identifies protective entities, tracks protective actions, records incidents, and manages claims. This multi-functional approach consolidates what would otherwise require separate complex systems into a unified structure, improving threat detection capability while avoiding proportional increases in data management complexity.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent employs nested data structures where resilience identities contain embedded metadata, actions, and related data. This nesting organization allows comprehensive monitoring data to be stored in a hierarchical manner, making the system more manageable and reducing the apparent complexity despite the comprehensiveness of the monitoring capabilities.

Inventive Principle:
Principle #7Nested doll (Nesting)

3Speed

If real-time data processing and transmission are implemented, then response speed improves, but system resource consumption increases

Engineering Contradiction:
Improveresponse speedVSAvoidprocessing resource consumption
Core Design Contradiction:
SpeedVSUse of energy by moving object

Solution Approach 1:

The system extracts and transmits only the essential resilience identity data and critical metadata in real-time, rather than processing and transmitting all available data. This selective extraction approach enables fast response speeds for threat detection and incident response while minimizing processing resource consumption by focusing computational efforts only on the most critical data elements.

Inventive Principle:
Principle #2Taking out (Extraction)

Data Source

PatentUS20250358119A1Systems and methods for compliance tokenization
Publication Date: 2025.11.20 AS0001 INC
  • US20250358119A1 patent drawing
  • US20250358119A1 patent drawing
  • US20250358119A1 patent drawing

AI summary

Systems, methods, and computer-readable media for modeling data using cyber resilience identities and associated metadata are disclosed. A system can include one or more processing circuits configured to receive or identify at least one attestation, certification, or configuration (ACC) of an entity including at least a portion of metadata of the at least one ACC or a link to the portion of the metadata of the at least one ACC. The one or more processing circuits can generate at least one cyber resilience identity comprising at least a link with the metadata and one or more actions or events. The one or more processing circuits can associate the at least one cyber resilience identity within a control structure. The one or more processing circuits can transmit the at least one cyber resilience identity to at least one of (i) a distributed ledger, (ii) a data source, or (iii) an interface.