Protecting Against the Unpredictable: Anomaly Detection in Cybersecurity
In the realm of cybersecurity, the unexpected is often the most feared. Unpredictable 'black swan' events, such as sudden spikes in network traffic or unusual login patterns, can be devastating to an organization. That's where AI-powered anomaly detection comes into play, empowering cybersecurity teams to identify and respond to unknown threats in real-time.
How Anomaly Detection Works
At its core, anomaly detection involves analyzing patterns and behavior within a network to identify deviations from the norm. This is achieved through machine learning algorithms that learn from historical data and adapt to new patterns. By continuously monitoring network activity, AI-powered systems can detect unusual behavior, such as:
- Sudden spikes in traffic or login attempts
- Unusual login locations or devices
- Changes in user behavior or access patterns
Case Study: Predicting DDoS Attacks
In 2016, a p...
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