Cybersecurity Resource Allocation via Event Data Analysis
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Solution Overview
Problem
The challenge in the cybersecurity field is to scale threat detection capabilities efficiently while improving response times to an increasing volume of security threats in cloud-based services.
Innovation Solution
A method for intelligent deployment of cybersecurity resources involves sourcing cybersecurity operations data, extracting task feature data, deriving timestamp data, and instantiating a cybersecurity event data structure to compute allocation values for resources, thereby deploying them efficiently within a Security Operations Center (SOC) to handle impending cybersecurity events or alerts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If security operation services scale their security services to protect against growing security threats, then the coverage and protection capability improve, but technical inefficiencies arise that slow down threat detection and response
Solution Approach 1:
The patent segments the monolithic security operations service into multiple specialized microservices, each handling specific security functions (threat detection, incident response, vulnerability management, etc.). This segmentation allows each service to be optimized independently and scaled according to specific workload demands, preventing the technical inefficiencies that arise from scaling a single large service.
Solution Approach 2:
The patent implements dynamic resource allocation and service composition, where the security operations platform can dynamically assemble and disassemble service chains based on real-time threat conditions and workload demands. This dynamic approach enables the system to optimize performance for different threat scenarios without the overhead of permanently scaling all security services.
2Adaptability or versatility
If the volume of security threats increases due to cloud-based services being accessible worldwide, then the need for comprehensive security coverage grows, but the complexity and resource requirements for scaling security operations increase
Solution Approach 1:
The patent creates a universal security operations platform that uses standardized service interfaces and common infrastructure to handle diverse security threats across cloud-based services. The platform can compose different specialized services to address various threat types, providing comprehensive security coverage without proportionally increasing operational complexity through standardized processes and tools.
Solution Approach 2:
The patent introduces an intermediary service composition layer that sits between the diverse cloud-based services and the security operations team. This intermediary standardizes interactions, translates various threat types into common security workflows, and manages the complexity of coordinating multiple security services, thereby expanding coverage without linearly increasing operational complexity.
3Measurement precision
If security operation services manually handle and analyze security threats, then detection accuracy may be maintained, but the response time slows down due to the high volume of threats
Solution Approach 1:
The patent implements automated security services that perform self-analysis and self-response for many security threats. Specialized microservices automatically detect, analyze, and respond to threats using machine learning models and predefined security playbooks, maintaining high detection accuracy through automated analysis while dramatically reducing response times compared to manual handling.
Solution Approach 2:
The patent incorporates feedback loops where security services continuously learn from analyzed threats and improve their detection and response capabilities. Automated services use feedback from threat analysis results to refine their detection algorithms and response strategies, maintaining or improving detection accuracy while operating at automated speeds rather than manual pace.
Data Source
AI summary
A system and method for deploying cybersecurity resources includes sourcing cybersecurity operations data that includes a plurality of distinct datasets derived from a handling of a target cybersecurity event; extracting, from the cybersecurity operations data, at least cybersecurity task feature data relating to a plurality of cybersecurity tasks and metadata, wherein each cybersecurity task of the plurality of cybersecurity tasks includes an identification of an operation executed when handling or the target cybersecurity event and an identification of an operator executing the operation; deriving timestamp data for each operation executed by a respective operator of each respective cybersecurity task of the plurality of cybersecurity tasks instantiating, by computer processors, a cybersecurity event data structure; using entries of the cybersecurity event data structure to compute allocation values for cybersecurity resources for handling impending cybersecurity events; and deploying, within a security operations center (SOC) of the cybersecurity service, the cybersecurity resources.