DXC Technology has entered a strategic partnership with Primary to help enterprises secure AI deployments through a Zero Trust platform designed specifically for autonomous AI systems. Under the agreement, DXC will become the exclusive managed services provider for Primary’s AI-native security platform, combining cybersecurity consulting, governance, identity management, and managed services to help organizations deploy AI agents securely while meeting growing regulatory and compliance requirements.
As enterprises accelerate the deployment of AI agents and autonomous business applications, cybersecurity is emerging as one of the most significant barriers to enterprise-scale adoption. Addressing that challenge, DXC Technology has announced a strategic partnership with AI security company Primary to deliver an AI-native Zero Trust platform aimed at governing how artificial intelligence systems access enterprise data, applications, and identities.
The agreement positions DXC as the exclusive managed services provider for Primary’s platform, extending its global cybersecurity portfolio with capabilities tailored specifically for enterprise AI environments. The joint solution combines consulting, implementation, integration, governance, and managed security services to help organizations move AI initiatives from pilot projects to production deployments.
The partnership reflects a broader shift in enterprise cybersecurity as organizations adopt increasingly autonomous AI systems. Traditional Zero Trust architectures were developed to authenticate users, devices, and networks, but AI agents introduce new security challenges because they can independently access sensitive information, invoke applications, and execute workflows across multiple enterprise systems.
Rather than treating AI applications as conventional software, the DXC–Primary platform introduces governance mechanisms designed specifically for autonomous intelligence. According to the companies, the platform provides continuous visibility into AI activity while enforcing policies that determine what enterprise data AI agents can access and under what conditions.
The offering incorporates identity management, policy enforcement, compliance controls, and cross-domain monitoring to establish a centralized governance layer for enterprise AI. By integrating these capabilities into DXC’s managed cybersecurity services, organizations can operationalize AI while maintaining oversight across users, applications, data assets, and autonomous AI agents.
A key element of the platform is its context-aware policy engine. Instead of evaluating access requests based solely on user credentials or device identity, the platform analyzes the broader operational context surrounding AI actions before permitting or denying access. This approach reflects the growing evolution of Zero Trust from static identity verification toward dynamic, risk-based decision-making suitable for autonomous systems.
The announcement comes as enterprise AI adoption enters a new phase. While many organizations spent the past two years experimenting with generative AI, CIOs are now deploying agentic AI capable of planning, reasoning, and executing business processes with limited human intervention. As AI systems become more autonomous, governance and security have become board-level priorities.
Technology providers across the industry are responding by embedding AI governance into enterprise platforms. Microsoft has expanded security capabilities across its Copilot ecosystem, while Google Cloud continues to enhance AI governance through Vertex AI. Amazon Web Services (AWS), Salesforce, and IBM have also introduced frameworks designed to improve AI observability, policy enforcement, and responsible AI deployment.
Rather than competing at the foundational model layer, DXC and Primary are focusing on the operational security infrastructure needed to support enterprise AI at scale. Their platform is particularly targeted at organizations operating in highly regulated industries, including financial services, healthcare, government, manufacturing, and critical infrastructure, where data sovereignty, compliance, and auditability are essential requirements.
The partnership also reflects growing demand for specialized managed security services as enterprises struggle to build in-house expertise around AI governance. By combining Primary’s AI-native security platform with DXC’s global cybersecurity organization, customers gain access to implementation services alongside continuous monitoring and operational support.
Industry analysts increasingly view AI governance as a foundational requirement for enterprise AI adoption. Gartner has identified AI Trust, Risk, and Security Management (AI TRiSM) as a strategic priority for organizations deploying generative and agentic AI, emphasizing governance, monitoring, and policy enforcement throughout the AI lifecycle. Meanwhile, IDC forecasts continued growth in enterprise spending on AI software and cybersecurity as organizations strengthen governance frameworks around intelligent systems.
For enterprise technology leaders, the collaboration highlights an important shift in cybersecurity strategy. Protecting AI infrastructure is no longer sufficient; organizations must also govern how AI agents interact with sensitive business information, digital identities, and operational processes. Zero Trust principles are increasingly being extended beyond human users to autonomous software entities capable of making decisions independently.
As enterprises transition from AI experimentation to production-scale deployment, security platforms that combine governance, identity management, policy automation, and continuous monitoring are expected to play a critical role in enabling trusted AI adoption. The DXC–Primary partnership illustrates how cybersecurity vendors are adapting Zero Trust architectures to meet the evolving demands of the agentic AI era.
Market Landscape
The rapid adoption of agentic AI is reshaping enterprise cybersecurity priorities. Traditional Zero Trust models focused on users and devices, but autonomous AI agents require continuous governance over data access, identity, and decision-making. As regulations surrounding AI accountability and data protection evolve, enterprises are investing in AI-native security platforms that provide policy enforcement, observability, compliance, and operational resilience across increasingly complex AI ecosystems.
Top Insights
- DXC Technology has partnered with Primary to deliver an AI-native Zero Trust platform that secures autonomous AI agents and enterprise AI applications through managed cybersecurity services.
- The joint offering introduces context-aware policy enforcement, enabling enterprises to govern AI access to sensitive data, identities, and business processes while maintaining regulatory compliance.
- The collaboration addresses a growing enterprise challenge as organizations transition from generative AI experimentation to production-scale deployment of agentic AI systems.
- Highly regulated industries including financial services, healthcare, manufacturing, and government are expected to benefit from AI governance frameworks that combine Zero Trust principles with continuous monitoring.
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