Cybersecurity Inquiry Response Mapping for Risk Assessment
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Solution Overview
Problem
The exchange of cybersecurity questionnaires between entities is time-consuming, cumbersome, and prone to inconsistencies, making it difficult to determine and manage cybersecurity risk levels accurately and efficiently.
Innovation Solution
A cybersecurity assessment server that parses and standardizes questionnaires, uses machine learning to identify conflicts, and auto-populates responses, enabling timely and reliable risk level determination through inquiry response mapping.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If questionnaires are exchanged manually between entities via email, then entities can exchange cybersecurity information, but the process becomes time-consuming and cumbersome
Solution Approach 1:
The patent introduces a server as an intermediary that receives questionnaires from multiple entities, stores them, and automatically matches responses to inquiries. This mediator eliminates the need for direct manual email exchanges between entities, significantly reducing time loss and operational burden while maintaining information exchange capabilities.
Solution Approach 2:
The system creates digital copies of questionnaires and responses in a centralized database, allowing multiple entities to access and process the same information without manual redistribution. This copying mechanism eliminates repetitive manual operations and reduces the time required for questionnaire exchange across multiple parties.
2Measurement precision
If multiple questionnaires with different formats are received, then comprehensive cybersecurity assessment is possible, but tracking and analyzing becomes difficult and tedious
Solution Approach 1:
The server implements a universal questionnaire management system that can handle multiple questionnaire formats, types, and sources through a single platform. This multi-functional system standardizes the processing of diverse questionnaires, making tracking and analysis manageable while preserving the comprehensive assessment capability provided by multiple formats.
Solution Approach 2:
The system transforms various questionnaire formats into a standardized internal representation, changing the parameter structure from diverse external formats to a unified internal schema. This parameter transformation enables consistent tracking and analysis of all questionnaires regardless of their original format, maintaining assessment accuracy while reducing management complexity.
3Reliability
If supporting documents are sent as email attachments, then evidence can be provided, but the process becomes cumbersome and security risks increase
Solution Approach 1:
The server acts as a secure intermediary for document transmission, replacing direct email attachment exchanges. Entities upload supporting documents to the server, which securely stores and manages them, eliminating the need for email attachments while maintaining evidence provision capability and improving security.
Solution Approach 2:
The system creates secure digital copies of supporting documents in a centralized repository, allowing verification and access without the security risks of email attachments. This copying mechanism maintains the reliability of evidence provision while eliminating the operational burden and security vulnerabilities of attachment-based transmission.
4Adaptability or versatility
If feedback is communicated via email or phone, then communication flexibility is maintained, but feedback is not recorded in the responsive document
Solution Approach 1:
The system implements an automated feedback mechanism where all communications, including feedback and questions, are automatically recorded and linked to the relevant questionnaire responses in the database. This feedback loop maintains communication flexibility while ensuring all information is preserved and traceable, eliminating the information loss associated with unrecorded email or phone feedback.
Data Source
AI summary
The present disclosure provides a method, system, and device for inquiry response mapping for determining a cybersecurity risk level of an entity. To manage and/or evaluate a cybersecurity risk level based on a relationship between a first entity and a second entity, questionnaires (e.g., requests or inquires) are often exchanged between two entities. One or more aspects of the present disclosure provide populating data sets (e.g., questionnaires) indicative of risk level for the first entity or the second entity. One or more other aspects of the present disclosure further provide determining a cybersecurity risk level of an entity by mapping responses to a plurality of inquiry sets directed to the first entity or the second entity.