Security Scoring Engine for Payment Application Maturity
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Solution Overview
Problem
Applications in payment networks often lag behind evolving security standards, posing a risk to the networks due to non-compliance, necessitating a method to assess and index their security maturity relative to established standards.
Innovation Solution
A system and method that assigns scores to applications based on their security maturity relative to one or more standards, using a security engine to solicit user inputs through interfaces and generate scores for security aspects, thereby creating an index for resource allocation to enhance network security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If applications are updated regularly to conform to security standards, then security compliance is improved, but the complexity of managing and tracking security maturity across multiple applications increases
Solution Approach 1:
The patent replaces manual security assessment processes with an automated security engine that uses machine learning models to evaluate applications against security standards. This automation substitutes human effort and manual tracking with computational systems, reducing management complexity while maintaining or improving security compliance accuracy.
Solution Approach 2:
The patent introduces a security maturity score as a quantitative parameter to represent the security compliance status of applications. By transforming qualitative security assessments into measurable scores, the system enables automated tracking and comparison, simplifying the management of security maturity across multiple applications while providing clear metrics for compliance evaluation.
2Measurement precision
If comprehensive security assessments are conducted on all applications, then security risk detection is improved, but the time and resources required for assessment increase
Solution Approach 1:
The security engine enables applications to self-assess their security maturity by automatically evaluating them against established security standards. This self-service approach allows comprehensive security assessments to be conducted without requiring extensive manual intervention, thereby maintaining high detection accuracy while significantly reducing the time and resources needed for assessment.
Solution Approach 2:
The system performs preliminary security assessments continuously in the background, maintaining up-to-date security maturity scores for all applications. By conducting assessments proactively and continuously rather than on-demand, the system ensures accurate security risk detection is always available without requiring significant time investment when assessments are actually needed.
3Productivity
If security scores are assigned to all applications, then resource allocation for security enhancement is optimized, but the complexity of implementing and maintaining the scoring system increases
Solution Approach 1:
The security engine serves multiple functions: it assesses security maturity, generates security scores, identifies vulnerabilities, and prioritizes remediation efforts. By consolidating these diverse security management tasks into a single multi-functional system, the patent achieves optimized resource allocation without proportionally increasing complexity, as the same core engine handles all these tasks.
Solution Approach 2:
The patent segments the security assessment process into distinct components: vulnerability identification, security standard evaluation, scoring calculation, and remediation prioritization. This segmentation allows each component to be independently optimized and maintained, reducing the overall system complexity while enabling efficient resource allocation based on the structured output of each segment.
Data Source
AI summary
Systems and methods are provided for assigning scores to target applications, based on one or more security standards, whereby the scores are indicative of the applications' relative security maturity. One exemplary method generally includes receiving an identification of a target application, the target application associated with access to a payment network and soliciting, by a computing device, a response to at least one inquiry regarding a security aspect of the target application. The at least one inquiry is related to at least one standard for data security. The exemplary method further includes assigning, by the computing device, a score to the target application based on the response, as received from a user and publishing the score as associated with the target application to said user or a different user.