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AI security and Zero Trust
The rapid rise of AI has reshaped the threat landscape, and modern security must evolve with it. This eBook explores how Microsoft delivers end-to-end protection by uniting Zero Trust and AI to secure data, applications, and infrastructure everywhere. Download the eBook for practical insights and contact 32 Byte to discuss implementing a comprehensive, AI-powered security framework for your business.
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What is the relationship between AI and Zero Trust?
AI and Zero Trust have a symbiotic relationship where each enhances the other. Zero Trust provides a secure environment that is essential for AI to operate effectively, while AI helps to evolve Zero Trust by automating security processes and providing insights. This partnership is crucial for protecting data and applications in today's dynamic digital landscape.
Why is data security more important with AI?
AI amplifies the value and risks associated with data. As AI models rely on high-quality data for training, the importance of protecting proprietary data increases. Additionally, AI can expose sensitive information if data classification and governance are not properly managed, making it essential for organizations to prioritize data security to mitigate these risks.
What is the shared responsibility model for AI security?
The shared responsibility model for AI security involves a partnership between organizations and their AI providers. Depending on the deployment type—Infrastructure as a Service (IaaS), Platform as a Service (PaaS), or Software as a Service (SaaS)—the responsibilities for securing AI applications vary. Organizations must manage their own data and applications while leveraging the security controls provided by their AI partners.
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