AI security and Zero Trust
As organizations adopt AI tools and services, protecting the data that fuels them becomes critical. The eBook "AI Security and Zero Trust" shows how these two forces strengthen each other. Download the eBook for a deep dive into building a resilient, modern security strategy. Contact Traction Consulting Group to talk through what that looks like for your organization.
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 effectively protect data and applications in today's dynamic landscape.
Why is data security more important with AI?
AI significantly increases the value of data, making it a prime target for cyber attackers. As AI models rely on high-quality data for training, organizations must prioritize data classification and protection. This shift is crucial to mitigate risks associated with unauthorized access and data leaks, which can have serious implications for business operations.
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—whether Infrastructure as a Service (IaaS), Platform as a Service (PaaS), or Software as a Service (SaaS)—the division of security responsibilities varies. Organizations must manage their data and applications, while providers ensure the security of the underlying infrastructure and services.
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