Neural Networks Cybersecurity
The use of neural networks in cybersecurity involves the application of artificial intelligence algorithms that mimic the way the human brain processes and learns information to detect and prevent cyber threats. Neural networks in cybersecurity work by analyzing patterns and anomalies in network traffic, identifying potential security breaches, and responding to attacks in real-time to protect sensitive data and systems from unauthorized access or malicious activities.