Content Bundle for Automated Security Data Analysis
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Solution Overview
Problem
Conventional network security systems face challenges in efficiently analyzing and monitoring network activity data due to the complexity of multiple protocols and applications, requiring extensive training and manual efforts, which leads to difficulties in detecting and analyzing security risks effectively.
Innovation Solution
The use of a content bundle that specifies a set of actions based on inputs, allowing for automated analysis and providing results in a configured format, enabling efficient security investigations and reducing manual labor through reusable workflows.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional network monitoring systems are used to analyze communications, then security monitoring capability is provided, but the system complexity increases due to multiple protocols and applications requiring different analysis tools
Solution Approach 1:
The patent implements a universal analysis platform that can handle multiple communication protocols (SMTP, FTP, HTTP, SMB, CIFS, etc.) and applications through a single integrated system. The platform uses configurable analysis rules and templates that can be adapted to different protocols without requiring separate specialized tools for each protocol, thus reducing system complexity while maintaining comprehensive security monitoring capability.
Solution Approach 2:
The patent introduces an intermediary layer (the analysis platform) that sits between the network traffic and the security monitoring functions. This intermediary handles protocol translation, normalization, and coordination, allowing complex multi-protocol analysis to be performed through a unified interface rather than requiring direct integration of multiple specialized tools.
2Measurement precision
If multiple specialized analysis tools are deployed for different protocols, then protocol-specific analysis accuracy is improved, but the ease of operation deteriorates due to need for extensive training
Solution Approach 1:
The analysis platform provides protocol-specific analysis accuracy for SMTP, FTP, HTTP, SMB, CIFS and other protocols through a universal interface. Users interact with a single standardized system that automatically selects and applies appropriate analysis rules for each protocol type, eliminating the need for users to learn multiple specialized tools while maintaining high analysis accuracy for each protocol.
Solution Approach 2:
The system performs automatic protocol detection and rule selection, eliminating the need for users to manually configure protocol-specific settings or choose appropriate analysis tools. The platform self-adapts to the traffic being analyzed and applies the correct analysis rules automatically, making operation simple while maintaining protocol-specific accuracy.
3Reliability
If comprehensive network traffic monitoring is implemented, then security detection capability is improved, but the loss of time increases due to large volume of data to sift through
Solution Approach 1:
The system performs preliminary analysis by pre-configuring analysis rules, templates, and thresholds for different protocol types and threat patterns. When network traffic is captured, the pre-prepared rules are immediately applied, eliminating the need for manual data sifting and accelerating the detection process while maintaining comprehensive security monitoring capability.
Solution Approach 2:
The analysis platform incorporates feedback mechanisms that learn from analyzed traffic patterns and adjust analysis priorities dynamically. Frequently occurring legitimate patterns are quickly identified and filtered, allowing the system to focus time-intensive analysis on suspicious or anomalous traffic, thus reducing overall analysis time while maintaining detection effectiveness.
4Measurement precision
If manual investigation processes are used for security breaches, then analysis thoroughness is improved, but productivity decreases due to laborious repeatable tasks
Solution Approach 1:
The system automates repeatable investigation tasks such as log collection, correlation, and initial analysis through self-service capabilities. Routine functions are performed automatically without manual intervention, freeing investigators to focus on complex analysis that requires human judgment while maintaining thoroughness through automated quality controls and standardized procedures.
Solution Approach 2:
The platform performs preliminary investigation steps automatically, including data collection, normalization, and initial pattern recognition, before presenting refined results to investigators. This preliminary processing maintains analysis thoroughness by ensuring consistent application of investigation procedures while significantly reducing the manual labor required for routine tasks.
Data Source
AI summary
A method is used in managing analysis of activity data. Activity data is analyzed for a security investigation by using a content bundle. The content bundle specifies a set of actions. The set of actions are performed based on a set of inputs provided to the content bundle. Results of analysis of the activity data is provided in a format based on a set of outputs configured for the content bundle.