Definition
Neural networks are a type of machine learning model inspired by the structure and function of the human brain. They consist of interconnected nodes, or neurons, organized in layers that process information. These networks learn by identifying patterns and relationships within large datasets, adjusting the strength of connections between neurons to improve accuracy over time. On the job, neural networks are crucial for automating complex decision-making processes and enhancing predictive capabilities. For instance, they power sophisticated intrusion detection systems that can identify novel threats by analyzing network traffic patterns. While often discussed alongside artificial intelligence, neural networks are a specific implementation technique within that broader field. You will encounter neural network concepts in advanced cybersecurity and systems architecture domains, particularly relevant for certifications like CISSP and CCSP.