• Sarvesh Thukrul
• Suyash patil

Network system weaknesses threaten the security of digital infrastructure systems to a dangerous extent. Security professionals must recognize and address all network vulnerabilities since they represent major cybersecurity risks. The research describes Vulnerability Hunter as an innovative automated system which finds and groups network-based vulnerabilities in corporate networks. The combination of machine learning algorithms and deep packet inspection with anomaly detection functions makes Vulnerability Hunter a strong platform for detecting security vulnerabilities effectively. This paper details the development process of Vulnerability Hunter accompanied by its developed methodology and practical framework deployment as well as its effectiveness evaluation within different real-world situations. Keywords: Network vulnerability, Cybersecurity, Anomaly Detection, Machine Learning, Deep Packet Inspection, Vulnerability Detection Framework . The word “cyber” is used to describe networks with infrastructure information systems , also referred to as “virtual reality”. Cyber security protects the security, integrity, and confidentiality of communication, life, integration, tangible or intangible assets, and data in an electronic environment established by institutions, organizations, and individuals in information systems.

Cyber security, Network security, security, vulnerabilities, risks, mitigation strategies, Security awareness

"A Comprehensive Approach to Mitigating Network Vulnerabilities: Threats, Risks, and Security Strategies", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 3, page no.a108-a116, March-2025, Available :http://www.jetir.org/papers/JETIR2503013.pdf

"A Comprehensive Approach to Mitigating Network Vulnerabilities: Threats, Risks, and Security Strategies", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 3, page no. ppa108-a116, March-2025, Available at : http://www.jetir.org/papers/JETIR2503013.pdf