This research addresses key challenges in securing biometric access devices by proposing a semi-automated security solution that can be integrated into a Telegram bot. We developed and evaluated two scripts, zksentinel-WEB and zksentinel-CLI, to identify vulnerabilities like weak authentication and insecure endpoints in biometric systems. The findings revealed significant risks, including the potential for fraud and unauthorized data access. The results show that this approach is effective in detecting system weaknesses and provides practical guidance for organizations to protect against malicious insider threats and external hackers. This tool is aimed at increasing security awareness and supporting the development of safer technology in the future, helping to minimize material losses and fraud within companies.