CyberArk Software has been granted a patent for a system that generates and manages security metadata for microservices. This metadata, separate from the executable code, defines various security attributes and enables control actions based on static and dynamic analysis, incorporating machine learning for updates and predictions. GlobalData’s report on CyberArk Software gives a 360-degree view of the company including its patenting strategy. Buy the report here.
Smarter leaders trust GlobalData
According to GlobalData’s company profile on CyberArk Software, Automation system authentication was a key innovation area identified from patents. CyberArk Software's grant share as of July 2024 was 60%. Grant share is based on the ratio of number of grants to total number of patents.
Security metadata management for microservices
The granted patent US12061690B2 outlines a non-transitory computer-readable medium and a computer-implemented method for managing security metadata associated with microservices. The core innovation involves generating modifiable security metadata that is distinct from the executable portion of the microservice. This metadata is informed by both static and dynamic analyses of the microservice's source code, allowing for the identification of various security attributes, such as security grade levels, security-sensitive operations, function classifications, and idempotence properties. The system is designed to receive adjustments or confirmations regarding these attributes, which are then used to update the security metadata through a machine learning model. This updated metadata can subsequently inform control actions, such as blocking or reporting activities of the microservice.
Additionally, the patent specifies that the modifiable security metadata can be stored separately from the executable files and can be invoked at runtime or independently of it. The security grade level can define access permissions and sensitivity levels, while the function classification can categorize operations like create, read, update, or delete. The method also includes provisions for both static analysis—such as keyword scanning—and dynamic behavior analysis, which monitors the microservice's activity patterns. This comprehensive approach aims to enhance the security management of microservices by enabling real-time updates and predictive capabilities based on machine learning, thereby addressing potential vulnerabilities and ensuring robust operational integrity.
To know more about GlobalData’s detailed insights on CyberArk Software, buy the report here.
Data Insights
From
The gold standard of business intelligence.
Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.
GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
