Deep learning has emerged as a promising tool in the field of cybersecurity, offering novel approaches to intrusion detection. Traditional methods often rely on pattern-matching techniques that can be easily bypassed by sophisticated attackers. In contrast, deep learning algorithms can learn complex anomalies from large datasets of network traffic,