Normalized Risk Model for Information Security Framework Synthesis
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Solution Overview
Problem
Information security teams face challenges in effectively preparing for, identifying, and responding to sophisticated cyber threats such as ransomware, phishing, and social engineering attacks, due to the lack of efficient tools and methods for managing and mitigating information security risks.
Innovation Solution
The development of a system and method for modeling and managing information security risks, which involves synthesizing multiple information security and cybersecurity frameworks to create a normalized framework, generating a risk model based on customer business context, analyzing graph structures to identify risks, and proposing prioritized changes to address identified risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple information security frameworks are used to comprehensively assess risks, then the assessment thoroughness is improved, but the system complexity increases
Solution Approach 1:
The patent merges multiple information security frameworks (NIST CSF, ISO 27001, PCI-DSS, etc.) into a unified risk assessment system. The framework synthesis module consolidates these diverse frameworks by mapping their control requirements to a common risk taxonomy, allowing comprehensive assessment across all frameworks simultaneously while presenting a unified view to users.
Solution Approach 2:
The system creates a universal risk assessment platform that can evaluate information security posture against multiple different frameworks through a single interface. The normalized risk model serves as a universal representation that can be interpreted across different framework contexts, enabling one system to perform multiple framework-specific assessment functions.
2Reliability
If comprehensive risk modeling is performed to identify all potential risks, then the security coverage is improved, but the time required for analysis increases
Solution Approach 1:
The system performs preliminary risk identification by pre-defining risk categories and control mappings based on established frameworks. Risk profiles are pre-configured with common vulnerability patterns and control effectiveness data, allowing the system to quickly assess new systems by matching them against these pre-established patterns rather than analyzing everything from scratch.
Solution Approach 2:
The risk assessment process is segmented into distinct modules: framework synthesis, risk identification, control evaluation, and risk calculation. Each module handles a specific aspect of the assessment, allowing parallel processing and enabling the system to focus computational resources on the most critical risk areas identified during the assessment.
3Measurement precision
If detailed control evaluation is performed to accurately assess security posture, then the measurement precision is improved, but the operational complexity increases
Solution Approach 1:
The system automatically performs control evaluation by ingesting security control data from various sources (policy documents, technical configurations, audit results) and autonomously mapping these controls to framework requirements. The risk calculation engine automatically computes security posture metrics without requiring manual intervention, reducing operational complexity while maintaining detailed evaluation precision.
Solution Approach 2:
The patent introduces a normalized risk model as an intermediary layer between detailed control evaluations and high-level security posture assessment. This intermediate representation aggregates detailed control data into framework-specific risk scores, which are then synthesized into overall security posture metrics, simplifying the interface while preserving detailed analysis capabilities.
4Measurement precision
If framework normalization is performed to address biases and variability, then the measurement consistency is improved, but the processing complexity increases
Solution Approach 1:
The system normalizes framework differences by transforming various framework-specific control parameters into a unified risk assessment parameter space. Control effectiveness ratings, compliance scores, and security posture metrics from different frameworks are converted to a common scale and taxonomy, enabling consistent comparison and aggregation across frameworks while managing normalization complexity through automated parameter transformation.
Data Source
AI summary
The system and method identifies and manages information security risks of existing information systems. The method includes obtaining and synthesizing information security and cybersecurity frameworks to obtain a normalized information security framework. The method also includes obtaining information on existing information systems. The method also includes generating, from the information, based on the normalized information security framework, and customer business context, a risk model that is structured to account for customers' information security ecosystem. The method also includes analyzing the risk model's graph structures to identify information security risk. The method also includes identifying and proposing prioritizing changes to the existing information systems to address the identified risk.