BT Group had 28 patents in artificial intelligence during Q2 2024. BT Group Plc has filed patents related to network security, model inversion attacks, software service generation using genetic algorithms, deploying AI algorithms, and operating software applications with machine learning models. These patents focus on protecting networks from threats, evaluating susceptibility to attacks, optimizing software functionality, training AI algorithms, and ensuring fitness of machine learning models within software applications. GlobalData’s report on BT Group gives a 360-degree view of the company including its patenting strategy. Buy the report here.
BT Group had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Network protection (Patent ID: US20240205260A1)
The patent filed by BT Group Plc describes a computer implemented method, system, and program for protecting a network by detecting anomalies associated with threats and training an intelligent agent to generate responses to these threats using reinforcement learning techniques. The intelligent agent evaluates the effectiveness of different actions to counter the threat based on a simulated propagation model of the threat within the network. The response generated by the intelligent agent includes actions to be taken in relation to the network, which are then applied to the network.
The method further includes determining if a predetermined response to the threat is available and applying it if so. If no predetermined response is available, the model of the network is generated, the intelligent agent is trained, and the response to the threat is determined by the agent. The response determined by the intelligent agent can be stored for future use as a predetermined response. Additionally, the method involves estimating the propagation rate of the threat in the network, configuring the threat propagation model accordingly, and taking actions such as isolating systems, upgrading defense levels, running enhanced detection, deploying intrusion detection systems, or changing firewall rules based on the type of threat detected, whether it be malware or a Distributed Denial-of-Service (DDoS) attack.
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