Entity Behavior Catalog for Security Anomaly Detection
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Solution Overview
Problem
Existing systems lack effective methods to catalog and analyze entity behavior for security operations, particularly in identifying malicious or anomalous behavior resulting from internal or external influences on users, which poses a risk to security.
Innovation Solution
A method and system for cataloging entity behavior by identifying security-related activities from electronic data sources, analyzing these activities for analytic utility, and generating entity behavior catalog data to create an inventory for security operations, utilizing a processor, data bus, and non-transitory computer-readable storage medium with executable code.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional security monitoring methods are used, then system simplicity is maintained, but the ability to identify malicious or anomalous behavior is insufficient
Solution Approach 1:
The patent segments entity behavior into discrete catalogable units with specific attributes (entity identifier, behavior type, timestamp, severity level). This segmentation allows complex behavior patterns to be broken down into manageable data elements that can be systematically analyzed without overwhelming system complexity
Solution Approach 2:
The patent introduces an intermediary behavior catalog layer between raw security events and analysis systems. This catalog serves as a structured intermediary that organizes behavior data according to predefined schemas, enabling precise detection while maintaining system modularity and manageable complexity
2Reliability
If comprehensive behavior cataloging is implemented, then security analysis capability is improved, but data processing complexity increases
Solution Approach 1:
The patent applies parameter changes by transforming raw behavior data into standardized catalog entries with specific parameters (behavior type classification, severity levels, entity identifiers). This parameterization enables reliable security analysis through consistent data structures while simplifying processing through uniform attribution schemes
3Loss of information
If detailed entity behavior data is collected, then security risk identification is enhanced, but information management burden increases
Solution Approach 1:
The patent creates a universal behavior catalog structure that can accommodate multiple types of entity behaviors (user actions, system events, network activities) through a unified schema. This multi-functional catalog design enables comprehensive information collection while managing complexity through a single standardized framework applicable to diverse data sources
Data Source
AI summary
A system, method, and computer-readable medium are disclosed for performing an entity behavior cataloging operation. The entity behavior cataloging operation includes: identifying a security related activity, the security related activity being based upon an observable from an electronic data source; analyzing the security related activity, the analyzing identifying an event of analytic utility associated with the security related activity; generating entity behavior catalog data based upon the event of analytic utility associated with the security related activity; and, storing the entity behavior catalog data within an entity behavior catalog, the entity behavior catalog providing an inventory of entity behaviors for use when performing a security operation.