#United States #DXC Technology #Ashburn #Zero Trust #Primary

Introduction

In the rapidly evolving landscape of artificial intelligence (AI), security and governance remain paramount. In an effort to address these critical issues, DXC Technology has announced a strategic partnership with Primary. The duo has launched an AI-native Zero Trust platform tailored for enterprise contexts, aiming to help businesses scale their AI implementations securely.

The Challenges of AI Security

As organizations transition from AI experimentation to full-scale production, new security challenges emerge, particularly regarding autonomous AI systems accessing sensitive business data. Traditional security models have not adequately addressed the unique requirements posed by AI agents operating within complex enterprise environments. This has necessitated a reimagination of security frameworks to align with the operational realities of modern enterprises.

A Revolutionary Collaboration

DXC Technology is now the exclusive managed services partner for Primary's Zero Trust platform. This collaboration aims to cater to the growing demand for secure AI deployment by allowing organizations to control how AI agents and applications access their data.

The joint solution combines DXC's extensive experience in managed security services with Primary's innovative technologies, providing a comprehensive set of offerings that include consultancy, implementation, integration, governance, and continuous operations. This multifaceted approach is designed to facilitate the secure adoption of AI, ensuring that organizations remain compliant and secure.

Dawn-Marie Vaughan, Global Cybersecurity Offerings Leader at DXC Technology, highlighted the urgent need for evolving security and governance. “As businesses move from AI pilot projects to production environments, it is crucial that security measures evolve correspondingly,” she stated. “A reliable AI environment requires more than protecting infrastructure; it needs stringent governance over how these AI systems interact with data.”

Comprehensive Security Strategy

This AI-native Zero Trust model aims to:

1. Protect AI Agents and Applications: Establishing robust safeguards against unauthorized access.
2. Manage AI Data Access: Enforcing strict controls on how AI interacts with business data.
3. Strengthen Identity and Policy Enforcement: Ensuring that identity verification is integral to AI operations.
4. Mitigate Risks: Reducing operational risks in complex environments through diligent monitoring and controls.
5. Support Compliance: Aligning operations with regulatory requirements to prevent legal pitfalls.
6. Enhance Visibility: Providing real-time insights into user behavior, application access, data use, and AI activities.

Closing the Security Gap

Michael Marx, Co-founder and President of Primary, emphasized the significance of context in AI security. “The primary challenge of enterprise AI security isn't merely surveilling an AI agent's actions but necessitates sufficient context to determine whether an action should be permitted—and having the infrastructure to automate decision-making in real time.”

The collaboration transforms telemetry across domains into continuous, context-sensitive policy applications throughout the AI workflow, enabling businesses to establish a unified control layer that safeguards sensitive data while minimizing operational risks.

Conclusion

As organizations increasingly navigate heavily regulated environments, the newly launched platform addresses pressing demands for governance, compliance, data sovereignty, and security. By incorporating Zero Trust principles directly within enterprise AI frameworks, DXC and Primary provide a pathway for clients to transition from AI experimentation to broad-scale deployment—with resilience and control that empowers innovation with confidence. To learn more about this groundbreaking initiative, visit DXC Technology's website.