Bifurcated Biometric Data Orchestration for Security Response
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Solution Overview
Problem
Modern cybersecurity computing environments face challenges in efficiently utilizing bifurcated and multiplexed biometric data for security orchestration and automation, as it increases storage and network resource utilization while introducing risks of delayed security responses and inefficient security policies due to disparate data storage and processing.
Innovation Solution
A method and system for security orchestration, automation, and response (SOAR) that utilizes biometric data by transmitting instructions to protected computing devices for periodic scanning, accessing a security database to match biometric identities, and generating customized security workflows based on vulnerability levels, with features like bifurcation and demultiplexing to optimize resource usage and security operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If bifurcated and multiplexed biometric data is utilized for security orchestration, then security operations can be tailored to different biometric sensors and vulnerability levels, but storage and network resource utilization increases
Solution Approach 1:
The patent applies segmentation by dividing biometric data into multiple parts stored in different locations (bifurcation) and separating data from different biometric sensors (multiplexing). This allows the system to retrieve only specific portions of biometric data needed for particular security operations, reducing overall storage and network resource utilization while maintaining adaptability to different security scenarios.
Solution Approach 2:
The patent implements local quality by associating different vulnerability levels with specific biometric sensors and storing corresponding security operations locally. This enables the system to efficiently retrieve and execute only the relevant security operations based on the specific biometric sensor and vulnerability level, avoiding unnecessary resource consumption while maintaining high adaptability.
2Adaptability or versatility
If bifurcated and multiplexed biometric data is utilized for security orchestration, then security policies can be customized for different scenarios, but delayed security responses occur due to disparate data storage and processing
Solution Approach 1:
The patent applies preliminary action by pre-organizing biometric data into bifurcated and multiplexed structures with associated vulnerability levels and security operations stored in advance. When a security event occurs, the system can quickly retrieve the pre-prepared data and execute corresponding security policies without delay, thus customizing security policies for different scenarios while maintaining fast response times.
Solution Approach 2:
The patent introduces an intermediary mechanism (the security orchestration system) that manages the complex relationships between bifurcated biometric data, vulnerability levels, and security operations. This intermediary efficiently coordinates data retrieval and policy execution, enabling customized security policies while minimizing response delays through optimized data access patterns.
3Quantity of substance
If traditional biometric data processing is used, then storage and network resources are conserved, but efficient utilization of biometric data for security orchestration is limited
Solution Approach 1:
The patent applies segmentation by dividing biometric data into manageable parts (bifurcation) and organizing data from different sensors separately (multiplexing). This segmentation enables the system to retrieve and process only the specific biometric data portions needed for each security operation, improving utilization efficiency while conserving storage and network resources by avoiding unnecessary data transmission.
Solution Approach 2:
The patent implements parameter changes by introducing vulnerability levels as a new parameter that characterizes different biometric sensors and data portions. This parameter enables the system to dynamically adjust data retrieval and processing strategies, optimizing the balance between resource conservation and efficient utilization of biometric data for various security orchestration scenarios.
Data Source
AI summary
Disclosed herein are methods, systems, and processes for facilitating security orchestration, automation, and response (SOAR) in cybersecurity computing environments that use biometric data or implement biometric data gathering. An instruction is periodically transmitted to a protected computing device to perform a security scanning operation that captures biometric data generated from a biometric device associated with the protected computing device. The biometric data received from the protected computing device includes a biometric identity of a trusted user or an untrusted user. A security database is accessed to determine whether the biometric identity matches a stored biometric identity of the trusted user. A security workflow that includes orchestrated security operations configured to identify the untrusted user and to prevent the untrusted user from accessing the protected computing device if the biometric identity does not match the stored biometric identity is generated and transmitted to the protected computing device. A confirmation is received from the protected computing device that the orchestrated security operations have been performed.