What role does machine learning play in identifying malicious bots?

Machine learning plays a crucial role in detecting and preventing malicious bot activities by enabling systems to learn from data and identify patterns indicative of bot behavior. Machine learning algorithms can be trained on large datasets to recognize anomalies and deviations in user behavior that are common among bots. This allows for the creation of models that can automatically flag and mitigate suspicious activities, helping to protect against various forms of attacks such as credential stuffing, content scraping, and distributed denial-of-service (DDoS) attacks. Furthermore, machine learning can adapt to evolving threats by constantly updating its algorithms based on new data, making it a powerful tool in the ongoing battle against malicious bots.