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In this video, I take you inside the real-world responsibilities and daily workflow of an AI Security Officer, giving you a clear and practical understanding of what the role truly involves. As AI continues to shape business operations, security risks and governance gaps have become more visible, making the AI Security Officer one of the most essential roles in modern organizations. In this session, I explain in simple terms how an AI Security Officer works each day to monitor, protect, and guide the safe use of AI systems across the organization. I begin by describing the core purpose of the role: ensuring that AI models, datasets, and systems are secure, compliant, and ethically aligned. I walk you through how an AI Security Officer starts their day by reviewing system dashboards, analyzing alerts, checking for unusual activities, and monitoring AI model behavior. This includes tracking data flows, identifying anomalies, and confirming that the AI systems operate within approved guidelines. I also discuss how they validate that models remain accurate, reliable, and free from bias or unauthorized modifications. Throughout the video, I highlight how daily tasks include collaborating with data teams, developers, compliance officers, and risk managers to ensure that AI systems meet organizational and regulatory requirements. An AI Security Officer regularly reviews data governance practices, validates data quality, inspects access controls, and ensures that sensitive datasets are protected from misuse. I also explain how they assess risks related to model drift, adversarial attacks, shadow AI usage, and emerging vulnerabilities that could compromise the integrity of AI systems. Another important part of an AI Security Officer’s day involves conducting audits, documenting findings, preparing reports, and updating governance frameworks. I walk you through how they align their tasks with standards such as ISO/IEC 42001, ISO 23894, GDPR, and the EU AI Act to maintain compliance and ensure that the organization meets global expectations for responsible AI. You’ll learn how they develop policies, track incidents, recommend improvements, and guide teams on secure AI deployment. During this video, I also talk about proactive responsibilities, such as training employees on the safe use of AI tools, evaluating third-party AI systems, participating in security reviews, and giving inputs during model development stages. These tasks help prevent risks before they occur and create a culture of responsible AI usage. The AI Security Officer also performs scenario testing, validates safeguards, and ensures that AI outputs remain transparent and explainable. By the end of this session, you will have a full understanding of what an AI Security Officer does every day—how they think, what they monitor, who they collaborate with, and how they help organizations safely innovate with AI. Whether you are considering this career path or want to strengthen your organization’s AI governance program, this video gives you a detailed, real-life perspective of the day-to-day responsibilities that make this role so impactful. If you find this content helpful, please like, share, and subscribe for more videos on AI governance, security, compliance, and responsible AI leadership.