OPTIMIZING VULNERABILITY MANAGEMENT FOR LARGE-SCALE ENTERPRISES: STRATEGIES FOR IDENTIFYING AND MITIGATING RISKS THROUGH ADVANCED VULNERABILITY ASSESSMENTS

Authors

  • Wasif Khan Author

Keywords:

Vulnerability Management, Next-Generation Firewalls (NGFWs), Intrusion Prevention Systems (IPS), Cybersecurity,, Deep Packet Inspection, Artificial Intelligence, Advanced Persistent Threats (APTs), Cloud Security, Threat Intelligence

Abstract

Vulnerability management is considered a critical element in protecting mega scale enterprises from increased cyber risks in the age of the digital economy. This paper focuses on future risk detection and prevention approaches using NGFWs and IPSs. These technologies extend beyond the traditional broadband and encompass superior capabilities for deep packet inspection, application awareness, and real-time threat intelligence to counter threats such as malware, ransomware, and advanced persistent threats (APT). NGFW and IPS provide dynamic security by employing AI and ML for threat detection and prevention tailored for every organization. It also covers best practices, implementation issues, and prospects such as AI developments and cloud and hybrid systems protection.

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Published

2022-10-28

How to Cite

Wasif Khan. (2022). OPTIMIZING VULNERABILITY MANAGEMENT FOR LARGE-SCALE ENTERPRISES: STRATEGIES FOR IDENTIFYING AND MITIGATING RISKS THROUGH ADVANCED VULNERABILITY ASSESSMENTS. INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ENGINEERING AND TECHNOLOGY (IJARET), 13(8), 26-43. https://lib-index.com/index.php/IJARET/article/view/IJARET_13_10_004