Artificial Intelligence is rapidly transforming government and enterprise operations, delivering new levels of efficiency, innovation, and competitive advantage. However, as AI adoption accelerates, organizations face a new generation of security risks that traditional cybersecurity frameworks were not designed to address. Threats such as prompt injection, data poisoning, model manipulation, and uncontrolled AI agents have expanded the attack surface across the entire AI ecosystem.
This guide introduces the Secure AI by Design Framework, a comprehensive approach to protecting AI applications, models, data, infrastructure, and autonomous agents. It outlines the key security challenges associated with modern AI systems and provides a roadmap for building resilient, trustworthy, and secure AI environments. By combining AI-specific security technologies, governance strategies, and continuous monitoring, organizations can confidently embrace AI innovation while mitigating emerging risks and ensuring compliance with evolving security standards.
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