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AI security and Zero Trust
A single security breach can cause major business disruptions for your customers. eSentire's SOC-as-a-Service provides 24/7 protection, ensuring threats are detected and contained before they escalate. Download this datasheet for an outline of how eSentire's SOC Cyber Analysts act as an extension of an organization's security team, delivering immediate support and expert-led response. Start your eSentire selling journey today by contacting a TD SYNNEX sales rep to discuss next steps.
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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. AI thrives in the secure environment that Zero Trust creates, while Zero Trust evolves to address the challenges introduced by AI. This partnership is essential for ensuring that security frameworks are adaptive and resilient, particularly in today's landscape of cloud services and mobile devices.
Why is data security more important with AI?
The integration of AI significantly amplifies the importance of data security. As AI models rely heavily on high-quality data for training, the value of enterprise data increases, making it a prime target for cyber attackers. Organizations must prioritize data classification and protection to mitigate risks associated with unauthorized access and data leaks.
What is the shared responsibility model for AI security?
The shared responsibility model for AI security outlines that both organizations and their AI providers play crucial roles in safeguarding AI applications. Depending on the deployment type—Infrastructure as a Service (IaaS), Platform as a Service (PaaS), or Software as a Service (SaaS)—the division of responsibilities varies. Organizations must manage the security of their models and data, while providers ensure the underlying infrastructure is secure.
AI security and Zero Trust
published by QUICKEN LOOK
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