Sign in to unlock valuable content and features from our AI-driven platform. Receive timely technology updates and the latest information from the solution providers who can help you realize your goals.
Start your journey by entering your name and email address below:
Please confirm your email address!
We are going to send a confirmation email to your email address to let you receive timely technology updates and the latest information from the solution providers who can help you realize your goals.
Is this you? Please confirm your name and email address below to receive the requested information.
Please check this box to confirm that you are opting-in to receive communications from NIMBUS LOGIC LLC and the data sharing outlined in our privacy policy.
Initializing
Loading
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 NIMBUS LOGIC LLC to discuss implementing a comprehensive, AI-powered security framework for your business.
Please enter your information below to access this content:
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.
AI security and Zero Trust
published by NIMBUS LOGIC LLC
In the Cloud industry, everyone has an important piece of the puzzle, but no one has the total solution. Nimbus Logic puts it all together. Count on Nimbus Logic to create a whole that is greater than the sum of its parts.
Nimbus Logic serves as objective advisers to the entire Cloud supply chain — as a consultant, integrator, brokers and reseller, we care about relationships, results, and the right solutions.
.png "NIMBUS LOGIC LLC")
Sign in with LinkedIn