Security Data Integration GUI With Event Mapping and Simulation
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Solution Overview
Problem
The challenge of scaling cybersecurity threat detection capabilities to manage the increasing volume of security threats in cloud-based services without causing technical inefficiencies that hinder threat detection and response is a critical issue.
Innovation Solution
A graphical user interface and method for constructing and deploying a data integration between third-party security services and cybersecurity event detection and response systems, utilizing signal-specific data mapping containers and raw event simulation containers to validate and translate security events into technology-agnostic formats, enabling intelligent threat detection and response.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If security operation services scale to mirror the growth of security threats, then threat detection capability is improved, but technical inefficiencies increase that slow down threat detection and response
Solution Approach 1:
The patent segments the data integration construction process into distinct modular components: integration identification parameters, signal-specific data mapping containers, raw event simulation containers, and deployment control elements. This segmentation allows each component to be independently configured, validated, and optimized, preventing technical inefficiencies while scaling threat detection capabilities across multiple security services.
Solution Approach 2:
The patent implements preliminary validation through raw event simulation containers that test data translations before actual deployment. By performing preliminary actions including validating mapping instructions against expected event signal types and simulating raw events, the system ensures integration accuracy is established beforehand, avoiding downstream detection failures and improving overall threat detection reliability when scaled.
2Adaptability or versatility
If multiple data integrations are constructed for different third-party security services, then adaptability of threat detection system is improved, but device complexity increases
Solution Approach 1:
The patent creates a universal integration construction framework that handles multiple third-party security services through common structural elements. The integration identification parameters, data mapping containers, and simulation validation mechanisms serve universal purposes across different security services, allowing the system to maintain adaptability while reducing the complexity of constructing and managing multiple integrations through standardized processes.
Solution Approach 2:
The patent uses templates and reusable configurations for data mapping containers and simulation validation setups. Once an integration is constructed and validated for one third-party security service, the same structural patterns, mapping approaches, and validation methodologies can be copied and adapted for other services, significantly reducing the complexity of creating multiple integrations while maintaining high adaptability.
3Manufacturing precision
If manual construction of data integrations is performed for each security service, then integration accuracy is maintained, but time consumption increases
Solution Approach 1:
The patent implements self-service mechanisms where the system automatically validates data translations through raw event simulation containers and provides feedback on integration accuracy. The simulation process automatically tests mapping instructions against expected event signal types without requiring manual verification, maintaining high integration accuracy while significantly reducing the time required compared to purely manual construction approaches.
Solution Approach 2:
The patent incorporates feedback loops where simulation results validate whether data translations produce expected event signal types. This automated feedback mechanism confirms integration accuracy by comparing actual translation outcomes against expected outcomes, allowing rapid iteration and validation without manual intervention, thus maintaining precision while reducing construction time.
Data Source
AI summary
A system, method, and computer-program product includes displaying, via a data integration building user interface, a plurality of integration-identifying user interface input elements configured to receive one or more strings of text for specifying a set of integration identification parameters that characterize an in-development security integration for a third-party security service, displaying, via the data integration building user interface, a signal-specific data mapping container based on receiving an input selecting a signal mapping addition control button of the data integration building user interface, displaying, via the data integration building user interface, a raw event simulation container based on receiving an input selecting a simulation addition control button of the data integration building user interface, and displaying, via the data integration building user interface, an integration deployment control element that, when operated, transitions the in-development security integration to a deployed security integration.