Meta Behavioral Analytics for Network Visibility
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Solution Overview
Problem
Behavioral analytics systems in networks are often siloed, unable to communicate or coordinate with each other, leading to difficulties in detecting and addressing issues such as security breaches and performance problems, as they lack cross-correlation capabilities and are vulnerable to hacking due to lack of monitoring.
Innovation Solution
Meta behavioral analytics techniques that correlate data outputs from multiple behavioral analytics systems across different domains, employing machine learning to identify previously unidentified issues and automatically respond to problems, providing a holistic view of the network and ensuring the health and security of these systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If behavioral analytics systems are deployed in siloed configurations to specialize in specific domains, then domain-specific analysis capability is improved, but system coordination and issue detection capability deteriorate
Solution Approach 1:
The patent combines multiple specialized behavioral analytics systems into a unified meta-behavioral analytics framework that correlates data across security, performance, and other domains. The meta-system aggregates outputs from individual domain-specific systems and performs cross-domain correlation analysis, enabling both specialized analysis and coordinated detection of complex issues that span multiple domains.
Solution Approach 2:
The patent introduces a meta-behavioral analytics system as an intermediary layer between individual behavioral analytics systems and the overall network monitoring infrastructure. This intermediary correlates data from multiple specialized systems, translates their outputs into a common framework, and enables cross-domain issue detection without compromising the specialized capabilities of each domain-specific system.
2Device complexity
If behavioral analytics systems operate independently without monitoring, then system simplicity is improved, but security and reliability deteriorate
Solution Approach 1:
The patent implements a feedback mechanism where the meta-behavioral analytics system monitors the behavior and outputs of individual behavioral analytics systems. By continuously analyzing the performance and security indicators of these systems, the meta-system can detect anomalies, potential compromises, or performance degradation, and provide feedback for corrective actions, thereby enhancing security and reliability without significantly increasing operational complexity.
3Adaptability or versatility
If multiple behavioral analytics systems are deployed to monitor different aspects, then comprehensive coverage is improved, but data correlation and unified insight capability deteriorate
Solution Approach 1:
The patent creates a universal meta-behavioral analytics framework that can process and correlate data from multiple domain-specific behavioral analytics systems. The meta-system employs universal correlation techniques and a unified data model that accommodates diverse input formats from security, performance, and other specialized systems, enabling comprehensive cross-domain insights while maintaining the versatility and monitoring coverage of each individual system.
Data Source
AI summary
Meta behavioral analytics techniques include, at one or more network devices that are operatively coupled to a plurality of behavioral analytics systems associated with a network or system, monitoring data outputs of the plurality of behavioral analytics systems that are representative of activity in the network or system. The one or more network devices correlate the data outputs from two or more of the plurality of behavioral analytics systems that are dedicated to analyzing different subject matter domains. Additionally, based on the correlating, the one or more network devices detect a previously unidentified condition in (a) the network or system; or (b) one of the plurality of behavioral analytics systems.