Volume 2 - Issue 2, March - April 2026

Bank vault Guardian is very important in maintaining valuable assets of financial institutions. The conventional security system primarily depends on manual surveillance and relies on some predefined rules, which may not hold good against advanced threats. To overcome these limitations, this work proposes a bank vault guardian using machine learning algorithms. These systems study the surveillance data, records of access, and sensor inputs in order to learn the normal patterns of behavior. Ml algorithms find out unusual and suspicious activities. Unauthorized attempts to access the vault are detected in real-time with least human interference. In cases of security breaches, the system generates instant alerts. This intelligent approach limits fake alarms and quickens the response time. The model proposed will assure continuous monitoring of the bank vault. Altogether, this is a reliable and efficient solution to enhanced vault security.

Sushmitha. ES, Mr.I.Gobi,"Bank Vault Guardian Using Machine Learning Algorithms" International Journal of Advanced Multidisciplinary Research and Educational Development, V2(2): Page(841-847) Mar-Apr 2026. ISSN: 3107-6513. www.ijamred.com. Published by Scientific and Academic Research Publishing.