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AI security and Zero Trust
AI is reshaping how organizations operate and how they must defend themselves. This eBook, "AI security and Zero Trust," shows how Zero Trust and AI work together to deliver comprehensive protection, using automation and intelligent insights to reduce risk and complexity. Download the eBook today, and contact Federal Network Security to discuss your Zero Trust roadmap.
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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 AI thrives in, while AI helps to evolve Zero Trust to meet new challenges. This partnership is essential for adapting security measures to protect data and applications effectively, especially in today's cloud and mobile environments.
Why is data security more important with AI?
The integration of AI significantly increases the value of data, making it a prime target for cyber attackers. AI's ability to generate insights from data means that organizations must prioritize data classification and protection. As AI models rely on high-quality data, safeguarding this data becomes critical to prevent unauthorized access and potential data breaches.
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 type of AI deployment—Infrastructure as a Service (IaaS), Platform as a Service (PaaS), or Software as a Service (SaaS)—the responsibilities vary. Organizations are responsible for securing their models and data, while providers offer the necessary infrastructure and embedded controls to support security efforts.
AI security and Zero Trust
published by Federal Network Security
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