Top 10 Applications of Deep Learning in Cybersecurity in 2022

Deep learning which is also known as Deep Neural Network includes machine learning techniques that enable the network to learn from unsupervised data and solve complex problems. It can be extensively used for cybersecurity to protect companies from threats like phishing, spear-phishing, drive-by attack, a password attack, denial of service, etc. Learn about the top 10 applications of deep learning in cybersecurity. Deep learning, convolutional neural networks, and Recurrent Neural Networks (RNNs) can be applied to create smarter ID/IP systems by analyzing the traffic with better accuracy, reducing the number of false alerts, and helping security teams differentiate bad and good network activities. Notable solutions include Next-Generation Firewall (NGFW), Web Application Firewall (WAF), and User Entity and Behavior Analytics (UEBA). Traditional malware solutions such as regular firewalls detect malware by using a signature-based detection system.