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 Troinet and the data sharing outlined in our privacy policy.
Initializing
Loading
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 Troinet to discuss your Zero Trust roadmap.
Please enter your information below to view 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 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 Troinet
Troinet specializes in delivering tailored Co-Managed IT solutions and Microsoft consulting services that empower businesses to streamline operations, enhance efficiency, and drive growth. Our comprehensive offerings include:
Microsoft Consulting Services: Expert guidance and support to help businesses optimize their use of Microsoft technologies, from Azure and Microsoft 365 to security and compliance solutions.
Data Governance: Simplify compliance and secure your data with advanced tools like Microsoft Purview.
Identity Management: Protect user access with Azure Active Directory, including single sign-on, multi-factor authentication, and role-based controls.
Device Security: Manage and secure your device ecosystem with Microsoft Intune, ensuring compliance across all endpoints.
We work with industries such as manufacturing, healthcare, and finance, providing customized solutions that reduce complexity, mitigate risks, and maximize the value of IT investments.
Let Troinet be your trusted partner in IT excellence and Microsoft technology optimization.