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AI security and Zero Trust
AI introduces new security challenges, from shadow AI use to data exfiltration. This whitepaper, "AI Security and Zero Trust," outlines how organizations can update their strategy to secure both data and applications in AI-driven environments. Download it to learn how to modernize your approach, align security with business goals, and mitigate emerging risks. Connect with Troinet to discuss your path to resilient, AI-ready security.
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What is Zero Trust and why is it important for AI security?
Zero Trust is a modern security approach that focuses on verifying every access request, regardless of whether it originates from inside or outside the organization. It emphasizes protecting assets through explicit validation and least privilege access. This approach is crucial for AI security because traditional perimeter-based defenses are insufficient for safeguarding AI applications and the sensitive data they handle. By adopting Zero Trust principles, organizations can better manage the risks associated with AI, ensuring that data and applications remain secure in an increasingly complex digital landscape.
How does AI impact data security needs?
AI significantly amplifies the importance of data security for organizations. As AI technologies, particularly Generative AI, become integral to business operations, the value of 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. This shift necessitates a reevaluation of existing security strategies to ensure that data governance practices are robust and aligned with the evolving landscape of AI.
What is the shared responsibility model for AI security?
The shared responsibility model for AI security outlines the division of security responsibilities 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 vary. Organizations are responsible for securing their data, applications, and usage, while providers manage the underlying infrastructure and platform security. This collaborative approach helps ensure that AI systems are resilient against evolving threats and that security investments are effectively aligned with organizational needs.
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.