Projected Future Data Stream for Security Intervention

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Solution Overview

Problem

Conventional security measures fail to preempt user errors such as weak passwords or phishing attacks, and traditional systems lack the ability to project future user activities, leading to reactionary responses that may not prevent negative impacts on users or systems.

Innovation Solution

A system that generates a projected future data stream to predict user activities, assigns a cluster based on these activities, and recommends actions to diverge from negative paths, using a clustering algorithm to prevent undesired consequences.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional security measures (firewalls, antivirus, intrusion detection systems) are implemented, then technical security controls are strengthened, but user errors such as phishing attacks and weak passwords cannot be preempted

Engineering Contradiction:

Improvesecurity control effectivenessVSAvoiduser error impact

Core Design Contradiction:

ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The system performs preliminary actions by generating a projected future data stream that predicts user activities before they occur. The convergence detection model proactively identifies potential security incidents by comparing projected activities against security policies, enabling preemptive intervention rather than reactive response after user errors occur

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements continuous feedback by monitoring user activities, comparing them against projected future activities, and generating real-time notifications when convergence indicating potential security incidents is detected. This feedback loop enables dynamic adjustment of security interventions based on actual user behavior patterns

Inventive Principle:

Principle #23Feedback

2Loss of information

If conventional credentialing systems review past user activity and aggregate suggestions, then security analysis is performed, but negative impacts occur before prevention can be implemented

Engineering Contradiction:

Improvesecurity incident prevention capabilityVSAvoidtime to prevent negative impact

Core Design Contradiction:

Loss of informationVSLoss of time

Solution Approach 1:

The system generates a projected future data stream that synthesizes potential future user activities based on historical patterns. By projecting forward in time rather than reviewing past activities, the system identifies security risks before they materialize, eliminating the time delay between detection and prevention that plagues conventional systems

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The convergence detection model serves as an intermediary between historical user activity data and future security outcomes. It bridges the gap by creating a projected future data stream that translates past patterns into predictive insights, enabling timely intervention before negative impacts occur

Inventive Principle:

Principle #24Intermediary (Mediator)

3Reliability

If the system generates a projected future data stream to predict user activities, then preemptive security intervention is enabled, but system complexity increases

Engineering Contradiction:

Improvesecurity incident prediction capabilityVSAvoidsystem architecture complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system performs self-service by using its own historical activity data to generate the projected future data stream. The convergence detection model leverages the organization's existing digital footprint and user behavior patterns, eliminating the need for external complex predictive analytics platforms while maintaining high prediction accuracy

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The convergence detection model serves multiple functions: it generates projected future activities, detects convergence indicating security risks, generates notifications, and provides recommendations. This multi-functionality consolidates what would otherwise require multiple separate systems into a single unified platform, reducing overall system complexity

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20250211611A1Systems and methods for intercepting convergent data streams

Publication Date: 2025.06.26 CAPITAL ONE SERVICES LLC

AI summary

Methods and systems for intercepting convergent data streams. In some aspects, the system may, in response to receiving a first data stream including a plurality of user activities executed by a user, generate a first projected future data stream. The first projected future data stream can include potential future activities for the user. The system may process the first projected future data stream to determine a first cluster to associate with the user. Furthermore, the system may determine whether the first cluster is a type of intervention cluster requiring direction to the user for future activity. In response to determining that the first cluster is a type of intervention cluster, the system may generate a notification to the user including one or more user activities to execute to exit the first cluster. This allows the system to prevent or intercept undesired activities executed by users.