Privacy Risk Assessment Scoring System
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Solution Overview
Problem
Current systems lack efficient methods for conducting comprehensive privacy risk assessments and compliance audits, particularly in identifying and managing privacy campaigns, leading to difficulties in ensuring data privacy and security, especially after breaches occur.
Innovation Solution
A computer-implemented data processing method that presents a series of questions to users to assess privacy characteristics, calculates a privacy risk score, and provides tailored assessments, including threshold, privacy impact, and advanced impact assessments based on pre-determined risk levels, to identify and manage privacy campaigns effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If comprehensive privacy risk assessments are conducted for all campaigns, then privacy security is improved, but the time and resources required increase significantly
Solution Approach 1:
The patent segments the privacy risk assessment process into multiple levels: a first level of assessment for all campaigns, and a second level of detailed assessment only for campaigns that exceed a threshold risk score. This segmentation allows comprehensive security coverage while reducing the time invested in low-risk campaigns.
Solution Approach 2:
The patent applies different assessment qualities to different campaigns based on their risk profiles. High-risk campaigns receive comprehensive detailed assessments, while low-risk campaigns receive streamlined assessments, optimizing resource allocation across the portfolio of campaigns.
2Measurement precision
If detailed privacy impact assessments are performed on all campaigns, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent implements a dynamic assessment system that adapts the level of detail based on the initial risk score. The system transitions between different assessment modes (first level vs. second level) depending on the campaign's risk profile, optimizing precision while managing complexity through conditional logic.
3Productivity
If multiple levels of privacy assessments are implemented, then productivity is improved, but ease of operation deteriorates
Solution Approach 1:
The patent performs a preliminary first-level assessment for all campaigns before determining which campaigns require detailed second-level assessments. This preliminary action filters out low-risk campaigns, making the overall process more efficient while maintaining simplicity for the majority of campaigns.
Data Source
AI summary
Data processing computer systems and methods are disclosed for generating an electronic record for a privacy campaign that may include campaign data and a risk level for the privacy campaign. The risk level may be calculated using the campaign data and weighting factors. The weighting factors may be user customizable. Each piece of campaign data may have a relative risk rating that may also be user customizable and that may be used in calculating the risk level for the privacy campaign.