Neural Networks in Cybersecurity
Neural Networks in Cybersecurity refers to the application of artificial intelligence technology that mimics the human brain's ability to learn and adapt to identify and respond to potential cybersecurity threats. These networks use algorithms to analyze patterns in data, detect anomalies, and predict potential security breaches in computer systems and networks. By continuously learning and evolving, neural networks enhance the efficiency and accuracy of cybersecurity measures to protect against cyber attacks and safeguard sensitive information.