Description: Intelligent Threat Detection refers to advanced methods that utilize machine learning and artificial intelligence to identify potential threats in digital environments. This technique relies on the collection and analysis of large volumes of data, allowing systems to learn normal behavior patterns and detect anomalies that may indicate a cyber attack. Unlike traditional intrusion detection methods, which depend on known malware signatures, intelligent detection can identify unknown and emerging threats in real-time. Key features of this technology include the ability to adapt to new threats, reduce false positives, and improve incident response speed. In a world where cyber threats are becoming increasingly sophisticated, Intelligent Threat Detection has become an essential component of security strategies, especially in environments adopting the Zero Trust security model, where it is assumed that no entity, internal or external, is trustworthy by default. This enables organizations to more effectively protect their critical assets, ensuring that only verified and authorized entities have access to their systems.
