Active Memory Security Analytics Platform for Real-Time Threat Neutralization
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Solution Overview
Problem
Conventional network security tools are inadequate in providing real-time protection against malicious attacks, often reacting only after a security breach has occurred due to their reliance on database analysis and rule-based measures, which are slow and vulnerable to cyber threats.
Innovation Solution
An automated security analytics platform that utilizes an active memory to store and analyze network telemetry information in real-time, employing pluggable network security modules and incremental partial serialization to rapidly detect and neutralize threats, while optimizing memory and processing resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If conventional database servers are used to store and analyze network telemetry, then data storage and historical analysis are enabled, but real-time response speed is slow and security threats are detected only after breaches occur
Solution Approach 1:
The patent replaces conventional database servers with an active memory-based system. Instead of using traditional disk-based relational databases that require complex queries and have slow read speeds, the invention uses active memory to store network telemetry in a format that enables direct, fast access by security modules. This substitution of the storage mechanism fundamentally improves response time and threat detection speed.
Solution Approach 2:
The patent segments the network telemetry data into discrete objects that can be independently processed by multiple security modules simultaneously. Each security module operates independently on specific portions of the data, enabling parallel processing and eliminating the bottleneck of sequential database queries. This segmentation allows real-time analysis without overwhelming a single central processing system.
2Reliability
If rule-based security measures are used to protect network resources, then known threats can be detected, but new and sophisticated attacks cannot be identified
Solution Approach 1:
The patent implements a dynamic security module architecture where modules can be automatically activated, deactivated, or modified based on real-time network conditions and detected threats. The system transitions from static rule-based security to dynamic analysis where security modules adapt their behavior based on the actual data patterns they observe, enabling detection of new and evolving threats without manual rule updates.
Solution Approach 2:
The security modules operate autonomously by directly analyzing network telemetry data without requiring centralized control or manual intervention. Each module independently evaluates network traffic against its detection capabilities and can trigger appropriate responses automatically. This self-service architecture enables the system to adapt to new threat patterns autonomously while maintaining reliable security protection.
3Adaptability or versatility
If anomaly detection systems are deployed to identify new attack patterns, then detection capability improves, but data processing time increases and response is delayed
Solution Approach 1:
The patent applies partial action by having security modules analyze only the specific portions of network telemetry data relevant to their detection capabilities rather than processing the entire dataset. Each module focuses on particular aspects of network traffic that are most indicative of threats, enabling efficient anomaly detection without the time penalty of full-data analysis. This selective processing maintains detection capability while reducing analysis time.
4Productivity
If pluggable network security modules are implemented with active memory, then real-time threat neutralization is enabled, but system complexity increases
Solution Approach 1:
The patent creates a universal active memory platform that can accommodate multiple types of security modules with different detection and response capabilities. The active memory system provides a common interface and data format that allows diverse security functions to coexist and operate efficiently. This universality simplifies the overall architecture by providing a single platform for multiple security functions rather than requiring separate complex systems for each security task.
Data Source
AI summary
Visualization agnostic selection linked portlets provide a tree from a parent to one or more children that present each portlet with its own visualization and data synchronized with a root portlet based upon related filters. Each portlet uses its visualization to display a data set derived by applying its filter in conjunction with the filters of its ancestors. Each portlet then presents data that is at most the same size as its root in a visualization adapted to the child's type and quantity of data.