Cyber Resilience Identity Tokenization for Incident Response Visibility
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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, enabling dynamic monitoring and proactive threat responses by integrating vendor connections and tokenization for enhanced data protection and real-time visibility.
Engineering Contradictions & Design Principles
Engineering 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
Solution Approach 1:
The system segments cyber resilience data into distinct entities (cyber resilience identities) with metadata, allowing modular management and selective integration. Each entity can be independently processed and associated with specific controls, enabling adaptability without requiring complete system redesign.
Solution Approach 2:
The control structure serves multiple functions: it stores cyber resilience identities, manages access rights, enables data sharing across different systems, and supports both internal and external access. This multi-functionality reduces the need for separate systems while improving adaptability to evolving threats.
2Loss of information
If comprehensive data access is provided, then visibility and monitoring capability improve, but security vulnerability and data exposure increase
Solution Approach 1:
The control structure acts as an intermediary between data owners and data consumers. It mediates access by evaluating rights associated with each cyber resilience identity and control, allowing selective disclosure of information without exposing the entire data structure to unauthorized users.
Solution Approach 2:
Data is segmented into discrete cyber resilience identities with associated metadata and access rights. This segmentation enables fine-grained access control where only specific portions of data accessible to authorized users, reducing overall data exposure while maintaining necessary visibility.
3Loss of time
If real-time monitoring and dynamic responses are implemented, then incident response capability improves, but system complexity and computational overhead increase
Solution Approach 1:
The system enables self-service through automated association of cyber resilience identities with controls and automatic evaluation of access rights. The control structure automatically manages data sharing and access without requiring manual intervention, reducing operational complexity while maintaining real-time responsiveness.
Solution Approach 2:
The system dynamically adjusts access parameters and control associations based on changing conditions. Cyber resilience identities can be associated with different controls at different times, and access rights can be modified without system redesign, enabling adaptability with manageable complexity.
Data Source
AI summary
Systems, methods, and computer-readable media for modeling cyber resilience data using cyber resilience identities and associated metadata are disclosed. A system can include one or more processing circuits configured to receive or identify cyber resilience data including at least a portion of metadata of the cyber resilience data or a link to the portion of the metadata of the cyber resilience data. The processing circuits can generate at least one cyber resilience identity including at least a link with the metadata and one or more actions or events performed by an entity or third-party. The processing circuits can associate the at least one cyber resilience identity within a control structure. The 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.