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This publication is the third installment in a series that explores organizational responsibilities related to Artificial Intelligence (AI). The first paper examined core AI security responsibilities and the second explored AI governance, risk management, and compliance. Building on these earlier discussions, this installment shifts the focus to the practical implementation of AI within organizations. It explores the tools, applications, supply chains, and other essential components necessary to deploy AI-driven systems successfully.

Key responsibilities discussed include secure coding practices, prompt injection defense, comprehensive output evaluation, and rigorous access control measures. Ensuring secure AI applications also involves adopting robust security assessments, automated testing, and role-based access controls. Finally, compliance with established frameworks such as the NIST AI Risk Management Framework and GDPR further reinforces organizational responsibility.

By focusing on these practical aspects of AI management, this publication equips organizations with necessary knowledge and strategies. These strategies will help professionals harness the power of AI technology effectively, while navigating its unique challenges.