Machine Learning helps computers learn from data to make predictions and decisions without being explicitly programmed. Deep Learning is a more advanced form of Machine Learning that mimics the human brain's structure. These technologies are used in cybersecurity to detect and respond to cyberattacks by analyzing large datasets for patterns of malicious activities. Different types of Machine Learning, like Supervised and Unsupervised Learning, are compared for their effectiveness in cybersecurity applications. Machine Learning-based intrusion detection systems are crucial for protecting against cyber threats in various industries.