Artificial Intelligence in Cybersecurity: A Review of Solutions for APT-Exploited Vulnerabilities
Nachaat AbdElatif Mohamed · 2024
This review paper provides a thorough examination of the role of Artificial Intelligence (AI) in countering vulnerabilities that Advanced Persistent Threats (APTs) exploit within cybersecurity frameworks. APTs pose a critical and growing challenge, often outpacing traditional security measures like Intrusion Detection Systems (IDSs) and User and Entity Behavior Analytics (UEBA). By analyzing 30 scholarly articles, we delve into various AI-powered approaches, particularly focusing on machine learning and deep learning techniques, which have been employed to effectively detect and neutralize risks associated with APTs. This paper aims to offer insightful perspectives on the integration of AI into cybersecurity, detailing the successes, ongoing challenges, and potential future directions in this dynamic field.