Threat Mitigation Platform for Network-Wide Exposure Detection
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Solution Overview
Problem
The complexity of computer attacks is increasing, and existing threat mitigation systems struggle to effectively monitor and respond to potential exposure situations across multiple computing systems and subsystems.
Innovation Solution
A threat mitigation system that combines data from various security-relevant subsystems to form consolidated network entity data, processing it to identify potential exposure situations and autonomously execute remedial actions based on threat levels, utilizing AI/ML for enhanced detection and response.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data from multiple security subsystems is consolidated and analyzed, then threat detection capability is improved, but system complexity increases
Solution Approach 1:
The patent consolidates data from multiple security subsystems (firewall, IDS/IPS, endpoint protection, etc.) into a unified threat mitigation system. This merging of previously separate security tools enables comprehensive threat detection while managing complexity through centralized architecture and standardized data processing pipelines.
Solution Approach 2:
The threat mitigation system performs multiple functions including data collection, consolidation, analysis, threat identification, and automated response execution. This multi-functional approach replaces multiple separate security tools with a single universal platform that handles diverse security tasks through modular components.
2Loss of time
If automated remedial actions are executed, then response time is improved, but risk of false actions increases
Solution Approach 1:
The system executes remedial actions automatically based on pre-configured threat mitigation plans without requiring real-time human approval. Threat responses are predetermined and automated, enabling immediate action upon threat detection while maintaining reliability through careful planning and configuration of response protocols.
Solution Approach 2:
The system continuously monitors and analyzes security data, comparing actual system state against known threat patterns. This feedback mechanism enables the system to distinguish between genuine threats and normal variations, reducing false positive remedial actions while maintaining rapid automated response capability.
Data Source
AI summary
A computer-implemented method, computer program product and computing system for obtaining entity data for a plurality of network entities from a plurality of data sources, thus defining a plurality of network entity data portions for each of the plurality of network entities; combining the plurality of network entity data portions for each of the plurality of network entities to form consolidated network entity data for each of the plurality of network entities, thus defining network-wide consolidated entity data; and processing the network-wide consolidated entity data to identify one or more potential exposure situations for the plurality of network entities.


