Privacy Risk Platform for Employee and Vendor Exposure Scoring
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Solution Overview
Problem
Organizations face challenges in monitoring and managing privacy risks associated with their employees and vendors, which can lead to data breaches and compliance issues due to the exposure of personal identifiable information (PII) online, potentially impacting legal and business implications.
Innovation Solution
A privacy risk management platform that calculates exposure scores for organizational employees and vendor employees based on their online data exposure, determines vendor and organizational privacy breach risks, and provides a report summarizing these risks to facilitate informed decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If organizations monitor and manage privacy risks for employees and vendors, then privacy breach risk is reduced, but system complexity and monitoring overhead increase
Solution Approach 1:
The system segments the monitoring task by separating organizational employees from vendor employees into distinct monitoring scopes. It maintains separate employee lists and exposure score calculations for each entity, allowing independent risk assessment while reducing the complexity of managing a single monolithic monitoring system for all personnel.
Solution Approach 2:
The system introduces an intermediary monitoring platform that acts as a mediator between organizations and their employees/vendors. This platform automatically collects data, calculates exposure scores, and generates reports, eliminating the need for organizations to directly manage complex monitoring infrastructure for each employee and vendor individually.
2Measurement precision
If exposure scores are calculated for all employees and vendors, then privacy risk identification improves, but data processing requirements and time consumption increase
Solution Approach 1:
The system performs preliminary actions by pre-establishing monitoring frameworks, data collection templates, and exposure score calculation methodologies before actual risk assessment is needed. This allows organizations to prepare their monitoring infrastructure in advance, reducing processing time during actual risk evaluation periods.
Solution Approach 2:
The system implements feedback mechanisms where exposure scores and risk assessments are continuously updated and fed back into the monitoring process. This enables iterative improvement of risk identification accuracy while optimizing processing efficiency through learned patterns and automated adjustments in the monitoring methodology.
Data Source
AI summary
A privacy risk platform determines, for an organization, a list of one or more vendors, and a list of all organization employees. For each vendor on the vendor list, the platform determines a vendor employee list comprising a subset of the vendor employees. For each employee in the vendor employee list, the platform calculates an exposure score associated with the vendor employee. The platform calculates a vendor score for the vendor based on the scores of each vendor employee in the vendor employee list. For each organization employee, the platform determines an exposure score associated with the employee. The platform calculates an organization score, representing a risk of exposure of confidential information associated with the organization online, based on the scores of each organizational employee. The platform provides a report comprising at least one of the organization score, the vendor scores, and the organizational employee scores.