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@article{174443,
        author = {Parmeswar Nath Yadav and Gavit Franciskumar and Mohit Kumar and Dolly Kankariya and Satish Kumar},
        title = {CipherSite},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {3955-3961},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174443},
        abstract = {The rapid evolution of cyber threats ranging from zero-day exploits to ransomware attacks has increased the need for proactive security measures. Traditional security tools, such as firewalls and antivirus software, are no longer sufficient to detect and mitigate modern threats effectively. Organizations require intelligent, automated, and scalable security solutions to safeguard sensitive data and IT infrastructures.
CipherSite is designed to bridge the gap between vulnerability scanning and real-time threat detection by leveraging AI-driven analytics and continuous security monitoring. This paper provides an in-depth analysis of CipherSite, its key features, implementation strategies, and how it outperforms existing security solutions in identifying and mitigating vulnerabilities.},
        keywords = {Vulnerability scanner, threat detection, cybersecurity, SIEM integration, machine learning, automated risk assessment, CVE identification, network security, penetration testing, malware detection, compliance management, threat intelligence.},
        month = {April},
        }