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Top 10 risks & remedies for adopting Generative AI

Published by Tanium

This cheat sheet provides a concise guide to managing risks associated with generative AI adoption, emphasizing critical areas like data privacy, model security, and adversarial attacks. It details mitigation strategies, such as robust encryption, input validation, and model audits, to counteract vulnerabilities in AI supply chains, prevent prompt injections, and reduce unauthorized access risks. By leveraging proactive cybersecurity measures, organizations can adopt generative AI technologies securely, aligning AI advancements with enterprise-level data protection, regulatory compliance, and resilience against emerging threats.

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Related Categories Artificial Intelligence, AI Regulations, AI Applications, Text Generation, Image Generation, Music Generation, Video Generation, Content Creation, Creative AI, AI Art, Generative Adversarial Networks (GANs), Language Models

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