Traditional Methods of Threat Detection

Abstract

Traditional threat detection methods are increasingly being integrated with modern
technologies like machine learning (ML) and artificial intelligence (AI). By combining
the strengths of traditional methods, such as signature-based detection, with the
adaptability of modern technologies, organizations can build more robust and resilient
cybersecurity defenses. For instance, AI can enhance signature-based detection by
automatically updating databases with new signatures and identifying patterns that may
not be immediately apparent to human analysts.