Metadata Labeling for Faster Data Security Asset Queries
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Data security systems face challenges in efficiently managing and querying large volumes of data records generated across numerous computing assets due to unstructured formats and the need for human administrators to manually search through millions of records for relevant information.
Innovation Solution
The implementation of labels generated by administrative users based on defined metadata criteria and transformation functions, allowing for efficient querying and management of data records within the data security system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data records are stored in unstructured formats to capture all computing asset information, then the quantity of data records increases, but the time required to search and retrieve relevant information increases
Solution Approach 1:
The patent segments data records by introducing labels that categorize computing assets into specific groups (e.g., cloud-based assets, virtual machine assets, container assets). This segmentation allows administrators to quickly filter and retrieve relevant records without searching through all unstructured data, thus reducing search time while maintaining comprehensive data storage.
Solution Approach 2:
The patent introduces labels as an intermediary element between the unstructured data records and the search/query process. These labels act as metadata that bridge the gap between raw data and meaningful information retrieval, enabling efficient querying without requiring administrators to manually search through millions of unstructured records.
2Reliability
If all computing asset data is monitored and stored to improve security coverage, then the reliability of security monitoring improves, but the complexity of managing and querying the data increases
Solution Approach 1:
The patent segments the monolithic data management system into organized categories using labels. By dividing assets into labeled groups (cloud-based, virtual machine, container, etc.), the system reduces management complexity while maintaining comprehensive security monitoring coverage across all asset types.
Solution Approach 2:
The patent changes the organizational parameters of data storage by introducing label-based metadata. Instead of managing raw unstructured data, the system transforms data organization through parameter changes (adding labels/categories), which simplifies management while preserving complete security monitoring capabilities.
3Device complexity
If manual searching methods are used to find relevant data records, then no additional processing infrastructure is needed, but the productivity of administrators decreases
Solution Approach 1:
The patent applies preliminary action by pre-processing data records with labels during ingestion and storage. This preliminary categorization enables administrators to perform efficient queries without manual searching, significantly improving productivity while requiring only minimal additional processing infrastructure for label application.
Data Source
AI summary
Methods, systems, and devices for generating and applying function-based and/or rule-based labels to data records for a data security system are described. Such labels may be used for querying of data records. A user of a data security system may define metadata criteria for triggering generation of a label. In some examples, the user may define a function that may transform the metadata that satisfies the triggering criteria for a data record into a label to apply to the data record. In some examples, the user may define a rule that indicates a label to apply to the data record(s) that satisfy the metadata criteria. A user may query the database for records based on the labels applied to the data records in a consistent format expected by the administrative user.