THE ROLE OF MACHINE LEARNING IN CYBERSECURITY: ENHANCING THREAT DETECTION AND RESPONSE

Abstract

The fast expansion of networked systems and the growing complexity of cyberattacks have made cybersecurity a major problem in many different industries in the digital age. Conventional approaches to threat detection and response, which often depend on preset rules and signature-based detection, are showing themselves to be inadequate in the face of current cyber adversaries' developing tactics, techniques, and procedures (TTPs). The number and complexity of today's cyber threats are too much for these traditional ways to handle, which is driving up demand for more sophisticated and flexible security solutions.