Author name: Ivis

Home Case Studies How a National Bank Reduced Security Breaches by 45% Using AI-Powered Video Analytics How a National Bank Reduced Security Breaches by 45% Using AI-Powered Video Analytics Overview A leading national bank with a vast network of branches, ATMs and customer service centers across India faced increasing security challenges as its operations expanded.   Traditional CCTV monitoring systems provided basic video recording but lacked the intelligence required to proactively detect threats, monitor suspicious behaviour or prevent operational risks in real time.   With thousands of daily customer interactions and multiple high-value transaction points such as ATMs, vaults and teller counters, the bank required a more advanced surveillance framework capable of delivering proactive threat detection, centralized monitoring and automated alerts.   To address these challenges, the bank partnered with iVIS to deploy an AI-powered video analytics and centralized surveillance platform designed specifically for financial institutions.   The implementation introduced real-time AI surveillance, automated incident detection and centralized command center monitoring, helping the bank significantly strengthen its security posture while improving operational visibility across its network. The Challenge As the bank expanded its nationwide footprint, managing security across hundreds of locations became increasingly complex. Legacy surveillance infrastructure created several operational challenges. Reactive CCTV Monitoring – Traditional CCTV systems relied on manual monitoring, meaning security teams often identified incidents only after they occurred. This delayed response limited the bank’s ability to prevent security breaches. Rising Security Breaches and Operational Risks – Incidents such as vandalism attempts or smoke near ATMs, unauthorized access in restricted areas and customer disputes at teller counters were becoming more frequent. Without intelligent monitoring, these incidents were difficult to detect early. Lack of Real-Time Alerts and Threat Detection – Existing surveillance systems did not provide automated alerts for unusual activity, forcing security teams to rely heavily on manual observation. Fragmented Monitoring Across Branches – With thousands of branches and ATM locations operating independently, the bank lacked a centralized surveillance framework capable of delivering unified oversight. Limited Incident Investigation Capabilities – Retrieving footage for incident investigation was time-consuming and inefficient due to the absence of AI-based video search capabilities. The bank required an AI-powered e-surveillance solution capable of detecting risks automatically, enabling real-time alerts and centralizing monitoring across all locations. The Solution iVIS implemented an AI-driven video analytics platform integrated with centralized monitoring, enabling the bank to transform its surveillance infrastructure into an intelligent security system. The solution leveraged computer vision, behavioral analytics and automated alerting to detect security risks in real time. Intelligent Threat Detection with AI Video Analytics AI-powered analytics continuously analyze video feeds across branches, ATMs and restricted areas to detect suspicious activity.  The system automatically identifies events such as: Unauthorized entry into restricted zones  Suspicious loitering near ATMs  Vandalism Attempts   Weapon detection  Abandoned objects or unusual crowd activity  Aggressive customer behavior at teller counters Security teams receive instant alerts, allowing rapid response to potential threats. Centralized Command Center Monitoring The iVIS platform integrated all branch and ATM surveillance feeds into a centralized command center. Security teams can now monitor operations across multiple locations through a unified dashboard, ensuring faster incident response and improved operational oversight. Real-Time Incident Alerts and Automated Escalation AI-generated alerts are instantly sent to monitoring teams whenever suspicious activity is detected.  Automated escalation workflows ensure that critical incidents are reported to relevant security personnel without delay. Smart Video Search and Incident Investigation Advanced video indexing allows investigators to quickly locate relevant footage based on events, timeframes or detected behaviors.  This significantly reduces the time required for incident investigation and evidence retrieval. The Impact 45% Reduction in Security Breaches and Stronger Operational Visibility. The deployment of the iVIS AI video analytics platform delivered significant improvements in banking security and operational monitoring. 45% Reduction in Security Incidents AI-powered monitoring enabled the bank to detect and respond to suspicious activities early, leading to a 45% reduction in security breaches across monitored locations. Faster Incident Detection and Response Real-time alerts and centralized monitoring drastically improved the speed at which security teams could identify and address potential threats. Improved ATM and Branch Security AI surveillance strengthened monitoring of ATM kiosks, teller counters and restricted areas, significantly reducing operational risks. Enhanced Operational Transparency Centralized dashboards provided leadership with clear visibility into incidents, security trends and response performance across the entire branch network. Scalable Security Framework for Future Growth The AI surveillance infrastructure provides a scalable model that can expand seamlessly as the bank continues to grow its branch and ATM footprint. The Conclusion The successful deployment of AI-powered video analytics by iVIS demonstrates how intelligent e-surveillance can significantly enhance security across large banking networks. By moving from reactive CCTV monitoring to proactive AI e-surveillance, the bank strengthened its ability to detect threats early, reduce security breaches and maintain safer environments for customers and employees. This implementation highlights how financial institutions can leverage AI-driven video analytics and centralized monitoring to build smarter, more secure banking operations.

Home Case Studies Strengthening Gold Vault Security with AI-Driven Surveillance and Automated Access Control Strengthening Gold Voult Security with AI-Driven Surveillance and Automated Access Control How iVIS helped a leading gold loan provider eliminate manual vulnerabilities, enforce SOP compliance and secure high-value assets through an AI-powered vault operating system. 5 min read Share Overview A leading India-based gold loan provider, operating across 2,700+ branches and serving over 56 lakh customers, manages approximately 28,000 tonnes of pledged gold assets across its nationwide network. Given the scale and value of assets under custody, maintaining strict vault security and operational control is critical. However, traditional manual vault operating procedures and key-based access systems created growing risks around unauthorized movements, human error and internal misuse. As operational complexity increased, the institution required a technology-driven surveillance and vault operating system that could strengthen security controls while ensuring consistent compliance across brances To address these challenges, the organization partnered with iVIS to deploy the Gold Loan E-Surveillance & Vault Operating Solution – and AI-enabled system designed to automate vault access management, enable real-time monitoring and eliminate operational vulnerabilities across its branch network. The Challenge Manual vault operations and limited visibility exposing critical asset risks Managing high-value gold assets across thousands of brances requires tight control over vault access and operational processes. However, legacy practices and limited technological oversight created operational and security concerns. Key challenges included: Manual vault operating procedures – Vault access depended heavily on manual approvals and physical key systems, increasing the risk of human error and process deviations. Unauthorized gold movement risks – Limited real-time monitoring allowed the possibility of assets being moved without proper authorization, exposing the institution to financial and reputational risk. Employee collusion and misuse of assets – In some instances, employees could potentially exploit operational gaps to misuse pledged gold assets, undermining internal controls and trust. Outdated security infrastructure – Existing surveillance systems lacked intelligent monitoring capabilities and could not proactively detect suspicious behavior or operational anomalies. Lack of real-time oversight and compliance enforcement – Without AI-driven monitoring and automated SOP enforcement, unusual vault access patterns or security deviations often went unnoticed until after incidents occurred. To address these vulnerabilities, the institution needed a modern, automated vault security framework capable of delivering continuous monitoring, stronger authentication and proactive risk detection. The Solution Implementing an AI-powered Gold Loan E-Surveillance and Vault Operating System. Given the scale and value of assets under custody, maintaining strict vault security and operational control is critical. However, traditional manual vault operating procedures and key-based access systems created growing risks around unauthorized movements, human error and internal misuse. iVIS introduced the Gold Loan E-Surveillance & Vault Operating Solution, designed specifically for financial institutions managing high-value pledged assets.   The solution integrates AI-powered surveillance, automated access control and centralized monitoring, transforming traditional vault operations into a secure and intelligent system. AI-enabled employee authentication A Facial Recognition System (FRS) was deployed to authenticate employees before granting vault access. This ensured that only verified personnel could initiate or participate in vault operations. A mobile-enabled FRS application allowed instant identity verification while maintaining a secure digital audit trail. Real-time AI surveillance and activity monitoring Computer vision–based AI models continuously monitor vault environments to verify guard presence, monitor crowd activity and detect unusual patterns or anomalies. This intelligent monitoring significantly reduces reliance on manual supervision while strengthening security oversight. Automated SOP enforcement The system enforces strict Standard Operating Procedures (SOPs) by validating vault access requests, ensuring proper approvals and triggering alerts whenever deviations occur. Unauthorized access attempts or operational irregularities are immediately flagged for review. Centralized monitoring through Network Operations Center (NOC) All vault access requests and surveillance feeds are monitored through the iVIS Network Operations Center, enabling centralized control and rapid response in case of anomalies. Automated workflows ensure that requests are validated and authorized securely before vault access is granted. The Impact Stronger asset protection, operational efficiency and scalable vault security The implementation of the iVIS Gold Loan E-Surveillance system delivered significant operational and security improvements across the institution’s branch network. Elimination of manual vulnerabilities Automated authentication and AI monitoring replaced manual verification processes, significantly reducing the risk of unauthorized vault access. Strict SOP enforcement ensures vault operations follow predefined security protocols at all times. Enhanced compliance and accountability Facial recognition authentication and automated workflows created a comprehensive digital audit trail for every vault access event. This strengthened governance and ensured compliance with internal security policies. Real-time visibility and proactive monitoring AI-powered surveillance provides continuous monitoring of vault environments, enabling early detection of suspicious activity or operational anomalies. Security teams can now respond quickly to potential risks before they escalate. Scalable security framework for nationwide operations The system provides a standardized and scalable model for vault security across thousands of branches, ensuring consistent security practices across the institution’s network. Conclusion The successful deployment of the iVIS Gold Loan E-Surveillance & Vault Operating Solution demonstrates how AI-driven surveillance and automated vault management can transform asset security for financial institutions.   By replacing manual processes with intelligent monitoring and automated SOP enforcement, the institution significantly strengthened its ability to protect high-value assets while improving operational efficiency and compliance.   This implementation sets a new benchmark for AI-powered vault security in the gold loan and NBFC sector, enabling financial institutions to manage large-scale operations with greater confidence, control and transparency.