Subscriber-Specific Cybersecurity Microservices for Cloud Threat Response
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Solution Overview
Problem
The challenge in modern cybersecurity lies in efficiently scaling threat detection and response capabilities to manage the increasing volume of security threats in cloud-based environments, particularly in ensuring timely and effective threat mitigation without technical inefficiencies.
Innovation Solution
A method involving constructing a subscriber-specific data corpus, adapting subscriber-agnostic microservices to subscriber-specific microservices with context-informed event handling instructions, and executing threat mitigation actions based on computed severity levels to address specific threat scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If security operation services scale to mirror the growth of security threats in cloud-based environments, then threat detection coverage is improved, but technical inefficiencies increase and detection speed decreases
Solution Approach 1:
The security operation service is divided into multiple specialized microservices (e.g., threat detection microservice, incident response microservice, analytics microservice). Each microservice handles specific aspects of security operations independently, allowing parallel processing of threats while maintaining comprehensive coverage. This segmentation enables the system to scale horizontally without creating technical inefficiencies.
Solution Approach 2:
The system implements dynamic resource allocation and adaptive processing where microservices can be activated or deactivated based on threat volume and severity. Processing priorities are dynamically adjusted to handle critical threats faster while maintaining adequate coverage for lower-priority events, thus maintaining detection speed while scaling coverage.
2Area of stationary object
If the volume of security threats increases in cloud-based services, then security monitoring scope is improved, but response efficiency deteriorates
Solution Approach 1:
The system performs preliminary actions by pre-configuring response playbooks and automated remediation scripts for common threat types. When threats are detected, pre-approved response actions are immediately executed, eliminating delays associated with manual analysis and decision-making. This allows comprehensive monitoring scope without sacrificing response efficiency.
Solution Approach 2:
The security system implements self-service capabilities where automated microservices handle routine threat responses without human intervention. The system autonomously detects, analyzes, and responds to threats using embedded logic and machine learning, reducing response time while maintaining broad monitoring coverage across cloud environments.
Data Source
AI summary
A system and method for adapting one or more cybersecurity microservices to accelerate cybersecurity threat mitigation includes constructing a subscriber-specific data corpus comprising a plurality of distinct pieces of computing environment-informative data of a target subscriber; adapting a subscriber-agnostic microservice of the cybersecurity service to a subscriber-specific microservice, wherein: the subscriber-agnostic microservice includes a plurality of subscriber-agnostic cybersecurity event handling instructions, and adapting the subscriber-agnostic microservice to the subscriber-specific microservice includes generating a plurality of context-informed cybersecurity event handling instructions; augmenting the subscriber-agnostic microservice to include the plurality of context-informed cybersecurity event handling instructions; computing for a target cybersecurity event a subscriber-specific threat severity level based on one or more of the plurality of context-informed cybersecurity event handling instructions; executing, by one or more computers, a threat mitigation action or threat disposal action based on the computing of the subscriber-specific threat severity level for the target cybersecurity event.