Darktrace has been granted a patent for a cyber threat defense system that utilizes a network module to ingest data, machine learning models to analyze metrics, and an AI classifier to assess the probability of cybersecurity breaches, enhancing threat detection and response capabilities. GlobalData’s report on Darktrace gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Darktrace, IoT network security was a key innovation area identified from patents. Darktrace's grant share as of July 2024 was 34%. Grant share is based on the ratio of number of grants to total number of patents.
Cyber threat defense system using machine learning and ai
The granted patent US12069073B2 outlines a comprehensive cyber threat defense system designed to enhance network security through advanced data analysis and machine learning techniques. The system comprises several key components, including a network module for ingesting data related to network structures, devices, and users, and an analyzer module that collaborates with multiple machine learning models. The primary function of the first machine learning model is to evaluate network data and identify metrics that may indicate cyber threats, ultimately producing a score that reflects the likelihood of anomalous activity. Additionally, an artificial intelligence classifier processes outputs from these models to assess the probability of a cybersecurity breach, which informs an autonomous response module tasked with mitigating identified threats.
Further enhancing its capabilities, the system incorporates various specialized machine learning models that analyze different aspects of network data, such as file names, extensions, and communication protocols. These models are designed to detect predetermined text strings and assess metrics associated with altered files or unencrypted email protocols. The system also includes a probability calculation module to refine the evaluation process by comparing network data metrics with historical data distributions. Importantly, the artificial intelligence classifier is continually trained to improve its accuracy in identifying breaches, ensuring that the system adapts to evolving cyber threats. Overall, this patent presents a multifaceted approach to cybersecurity, leveraging machine learning and artificial intelligence to proactively defend against potential breaches.
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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.
