Qualys has patented a system for testing security objects using a decision tree to determine security threat parameters. The system prioritizes remediation steps based on the threat level identified. GlobalData’s report on Qualys gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Qualys, Network threat detection was a key innovation area identified from patents. Qualys's grant share as of January 2024 was 77%. Grant share is based on the ratio of number of grants to total number of patents.

System for testing security objects using decision tree

Source: United States Patent and Trademark Office (USPTO). Credit: Qualys Inc

A recently granted patent (Publication Number: US11874933B2) discloses a system and method for enhancing security measures by utilizing a decision tree structure. The system comprises hardware computing system processors and memory storing multiple security engines and instructions. These components work together to access a decision tree with various nodes, link specific nodes with security engines, receive security objects with digital assets vulnerable to attack, and test these objects using the decision tree to determine a security threat parameter. This parameter is crucial in establishing remediation steps to mitigate potential attack execution operations associated with the digital asset. The testing process involves assigning reputation parameters, analyzing threat attribute data, and categorizing malware samples based on textual or binary patterns.

Furthermore, the system and method involve classifying malware samples into threat categories, determining security threat parameters, and prioritizing remediation steps based on the magnitude of risk parameters generated by different security engines. The system also includes attributes such as threat-actor data, malware data, security tool information, and user data associated with potential attack execution operations. Additionally, the decision tree structure is based on threat data derived from various sources, including threat-actor behavior, security reports, and threat attribute data. The testing process using the decision tree also involves determining associations with blacklist security objects, process objects, mutex objects, network objects, and security events, further enhancing the system's ability to identify and mitigate security threats effectively.

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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.