Threat Assessment Engine for Third-Party Connection Oscillations
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Solution Overview
Problem
Existing security threat assessment systems rely solely on internal data and lack real-time monitoring of external data sources, leading to incomplete identification and mitigation of security threats from third-party systems, which can compromise entity data and systems.
Innovation Solution
A data integration and threat assessment system that combines internal and external data sources to monitor third-party connections, generates a threat level, and triggers actionable alerts and responses, including terminating data migration and revoking access, to address detected security threats.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the system relies solely on internal data for threat assessment, then the system complexity is reduced, but the measurement precision of threat detection deteriorates
Solution Approach 1:
The patent combines internal data sources (entity's own security logs, system data) with external data sources (third-party security intelligence, industry threat feeds) to create a comprehensive threat assessment. This merging of data sources improves measurement precision of threat detection while managing system complexity through standardized integration protocols
2Reliability
If the system implements real-time monitoring of external data sources, then the reliability of threat assessment is improved, but the use of energy and computational resources increases
Solution Approach 1:
The system implements periodic monitoring and assessment cycles, where external data sources are monitored at scheduled intervals rather than continuously. The threat assessment engine periodically recalculates threat levels based on accumulated data, balancing reliability improvement with computational resource management
Solution Approach 2:
The system incorporates feedback mechanisms where threat assessment results from previous cycles inform the monitoring intensity and frequency for subsequent cycles. When threats are detected, the system increases monitoring intensity; when the environment is stable, monitoring intensity is reduced, optimizing resource usage while maintaining reliability
3Loss of information
If the system integrates multiple internal and external data sources, then the completeness of threat identification is improved, but the device complexity increases
Solution Approach 1:
The patent introduces a threat assessment engine as an intermediary component that standardizes and harmonizes data from multiple internal and external sources. This intermediary layer translates diverse data formats and protocols into a unified threat assessment framework, improving information completeness while managing integration complexity
4Productivity
If the system triggers automated responses to threat level changes, then the productivity of threat mitigation is improved, but the risk of false actions increases
Solution Approach 1:
The system performs preliminary validation and verification steps before triggering automated responses. Threat level changes are monitored against predefined thresholds and patterns, and multiple indicators are confirmed before automated mitigation actions are executed, reducing false actions while maintaining rapid response capability
Data Source
AI summary
Embodiments of the present invention are directed to data integration and threat assessment for triggering analysis of connection oscillations in order to improve data and connection security. The invention leverages a security threat assessment engine and an analytics engine to gather and process data from a combination of internal and external data sources for a third party connection. The system continuously monitors and updates a generated threat level for a third party connection to determine changes or triggers indicating a potential security threat. In response to these determined changes or triggers, the system then responds to a detected security threat and minimizes damages resulting from data compromised by third party systems. Further, the system may extract and recover data from the third party systems and alter connection channels in order to further limit losses.