• Ojas Subodh Satardekar
• Manish Dilip Yadav
• Jayant Ganesh Sail
• Jathin Ravi Reddy
• Priayanka Omkar Bhoir

As cyber dangers gotten to be progressively complex, conventional security apparatuses regularly battle to supply adequate security against advanced assaults. To address this challenge, this paper presents SecureBank360, a cutting-edge cybersecurity arrangement that combines AI-driven irregularity location with ordinary security procedures such as Nmap, ClamAV, and YARA. The proposed framework utilizes machine learning to distinguish peculiarities and coordinating characteristic dialect handling (NLP) for comprehensive danger insights investigation. Planned for wide compatibility, SecureBank360 guarantees proficient operation indeed on bequest frameworks, making it a flexible and versatile security instrument. This paper gives an in-depth investigation of the framework design, execution handle, assessment strategies, and its broader suggestions for the advancing cybersecurity scene.

Cybersecurity, AI (Artificial Intelligence), Vulnerability Scanner, Machine Learning, Threat Intelligence, Anomaly Detection, Nmap, ClamAV ,YARA, NLP (Natural Language Processing)

"SECURE BANK 360: AI-based Vulnerability Risk Assessment Tool", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 3, page no.e711-e717, March-2025, Available :http://www.jetir.org/papers/JETIR2503495.pdf

"SECURE BANK 360: AI-based Vulnerability Risk Assessment Tool", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 3, page no. ppe711-e717, March-2025, Available at : http://www.jetir.org/papers/JETIR2503495.pdf