Security Assessment Platform Using Machine Learning
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Solution Overview
Problem
Existing tools for assessing organizational security and operational aspects are often ad hoc, subjective, and prone to inaccuracies, failing to provide objective and up-to-date evaluations.
Innovation Solution
A platform that collects input data on organizational operations, analyzes it using machine learning techniques to generate metrics and tasks, and presents these findings through a user interface, thereby providing a comprehensive and objective assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional ad hoc assessment tools are used, then implementation is simple and quick, but assessment accuracy and objectivity deteriorate
Solution Approach 1:
The assessment platform is segmented into distinct functional modules: data collection module, data processing module with machine learning algorithms, metric generation module, and reporting module. This segmentation allows each module to specialize in specific tasks, improving overall assessment accuracy while managing complexity through modular design.
Solution Approach 2:
The patent introduces an intermediary data processing layer that sits between raw data collection and final assessment metrics. This intermediary layer applies machine learning algorithms and standardized processing rules to objectively transform raw data into reliable metrics, resolving the contradiction between simplicity and accuracy by adding intelligence without adding unnecessary complexity.
2Reliability
If manual data entry methods are used, then data collection is simple, but data entry errors and inaccuracies increase
Solution Approach 1:
The assessment platform enables self-service data collection through automated data gathering from organizational systems and databases. The system automatically retrieves, validates, and processes data without requiring manual entry, thereby eliminating data entry errors while improving productivity through automation. The platform serves itself by autonomously collecting and processing assessment data.
3Measurement precision
If comprehensive organizational data is collected, then assessment completeness improves, but data processing time and complexity increase
Solution Approach 1:
The patent implements preliminary action through pre-configured data collection templates, pre-trained machine learning models, and pre-established metric calculation frameworks. These preliminary preparations enable the platform to rapidly process comprehensive organizational data without requiring extensive processing time during actual assessments, as the processing logic is already in place and optimized.
Solution Approach 2:
The patent replaces traditional mechanical data processing methods with machine learning-based automated processing. Instead of manual analysis or simple rule-based systems, the platform uses intelligent algorithms to efficiently process large volumes of comprehensive organizational data, achieving both completeness and speed by substituting mechanical processing with intelligent automation.
4Measurement precision
If subjective stakeholder influence is allowed, then assessment flexibility increases, but assessment objectivity deteriorates
Solution Approach 1:
The patent implements feedback mechanisms where assessment results are automatically validated against multiple data sources and consistency checks. The system provides feedback loops that identify and correct subjective biases by comparing assessments against objective metrics and historical data, maintaining objectivity while allowing flexibility in assessment methodologies through configurable parameters.
Data Source
AI summary
A platform is described for collecting and providing intelligence regarding security and/or other aspect(s), and for providing an assessment of the security and/or other aspects of the organization based on the collected and analyzed intelligence. In some implementations, the platform may assess security according to a lean security paradigm, and the platform may be described as a lean security intelligence platform. The platform provides a set of integrated tools for measurement, analytics, and reporting of security aspects and/or other aspects of an organization. The platform provides master assessment scores that gauge the maturity levels of the organization's overall security and/or compliance readiness, in some instances in accordance with Lean Security practices and/or principles. The platform provides access to an organization's analysis with respect to various metrics that are monitored over time determine whether the organization's performance is improving (or degrading) with respect to the metrics.