Machine Learning in Cyber Security: Detecting Threats in Real Time
Machine Learning, a powerful branch of Artificial Intelligence (AI), enables cyber security systems to learn from past attacks and detect threats instantly. Unlike traditional security systems that rely on fixed rules and predefined signatures, machine learning models analyze large volumes of data to identify patterns and unusual activities. These systems continuously improve over time by learning from new data, making them highly effective against evolving cyber threats. In today’s digital environment, cyber attacks are becoming more advanced and frequent. Hackers constantly modify their techniques to bypass conventional defenses. Machine learning addresses this challenge by recognizing abnormal behavior instead of only searching for known malware signatures. For example, if a system detects unexpected data transfers, repeated failed login attempts, or irregular user behavior, it can immediately flag the activity as suspicious. This ability to detect anomalies in real time signi...