Consistently monitor and remediate vulnerabilities within AI data, models, and application usage using IBM Guardium AI Security, which provides automated and ongoing surveillance for AI implementations. The system identifies security flaws and misconfigurations while managing the security dynamics between users, models, data, and applications. This functionality is integrated within the IBM Guardium Data Security Center, designed to enhance collaboration between security and AI teams through streamlined workflows, a unified overview of data assets, and centralized compliance regulations. Guardium AI Security identifies the specific AI model linked to each deployment, revealing the data, model, and application interactions involved. Additionally, it displays all applications that access the model, allowing users to assess vulnerabilities in the model, its foundational data, and the interacting applications. Each identified vulnerability is given a criticality score, enabling effective prioritization of remediation efforts. Furthermore, users can easily export the vulnerability list for comprehensive reporting, ensuring that all necessary stakeholders are informed and aligned on security efforts. This proactive approach not only strengthens security but also fosters a culture of awareness and responsiveness within the organization.