Automated Vendor Risk Assessment Platform
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Solution Overview
Problem
Current vendor risk assessment methods rely on manual, error-prone, and time-consuming questionnaires that lack standardization and historical data comparison, making it difficult for organizations to ensure their third-party vendors meet security objectives.
Innovation Solution
A data-driven, automated platform that continuously monitors third-party vendor software application components and internal data sources in real-time, using APIs, data point mappings, and objective analysis criteria to provide a unified dashboard for risk assessment, reducing the need for periodic reconfiguration and manual data processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual vendor risk assessment questionnaires are used, then organizations can assess vendor security status, but the process becomes time-consuming and error-prone
Solution Approach 1:
The patent replaces manual mechanical processes (questionnaire completion, data collection, analysis) with an automated computing platform that uses APIs, data point mappings, and algorithmic analysis to continuously monitor and assess vendor security status, eliminating human error and time consumption while maintaining assessment reliability
Solution Approach 2:
The patent introduces an intermediary computing platform that acts as a mediator between organizations and vendors, automatically collecting security data from multiple sources, processing it through standardized mappings, and generating risk assessments, thereby eliminating the need for direct manual interaction between parties
2Reliability
If comprehensive vendor monitoring is implemented, then security status can be continuously tracked, but system complexity increases
Solution Approach 1:
The patent creates a universal computing platform that performs multiple functions (data collection from diverse sources, data normalization, risk analysis, reporting) through a single integrated system using standardized data point mappings and APIs, enabling comprehensive monitoring without proportional increases in complexity
Solution Approach 2:
The patent transforms complex security assessment data into standardized parameters and metrics through data point mappings, converting diverse vendor security information into uniform risk scores and status indicators that simplify monitoring while maintaining comprehensive coverage
3Loss of information
If real-time data collection from multiple sources is performed, then security status information becomes more complete, but data processing complexity increases
Solution Approach 1:
The patent applies homogeneity by standardizing diverse security data from multiple sources into uniform data point mappings and common schemas, enabling consistent processing and analysis of information from different vendors and security tools while maintaining data completeness and reducing processing complexity
Data Source
AI summary
The techniques described herein relate to methods, apparatus, and computer readable media configured to provide data-driven vendor risk assessment. In some aspects, a distributed computer system is provided that includes an interface component adapted to obtain security status information from at least two software application components, the at least two software application components being used by an organizational entity. The distributed computer system also includes a monitoring component adapted to receive the security status information from the at least two software application components and to determine a security status of the organizational entity based on the received security status information.