About the author
Karim Jeribi, the global head of DXC's strategic industries (Public Sector, Aerospace & Defense, Healthcare, Consumer & Retail) focuses on nurturing innovation and growth with clients.
Industry Spotlights | September 25, 2025
By Karim Jeribi, Vice President Global Industries, DXC Technology
As artificial intelligence continues to grow in sophistication, today’s leaders are taking steps to strike the right balance between innovation and security.
This is because at a time when governments and businesses are eager to unlock the prospects of AI, many are also prioritizing data privacy. While AI models rely on data to spot patterns and make predictions, leaders understand that the private data used to train these models could potentially be misused. This poses a risk to their organization’s intellectual property, customer information and other sensitive data.
To help manage the risks, many have turned to private AI, an approach that uses AI systems in a way that protects data privacy and maintains an organization’s control over sensitive data.
Based on DXC Technology’s experience in helping customers across different industries unlock AI’s potential, while protecting privacy and mitigating risk, here are five key benefits of private AI:
As governments and businesses focus on protecting consumer privacy, many organizations are adopting private AI to meet strict data regulations. This is especially true in highly regulated sectors such as aerospace, which often intersect with military, intelligence, or government contractors.
DXC partnered with the European Space Agency to develop “ASK ESA,” a scalable AI platform that improves efficiency across its shared services organization. Using Mistral AI (a European large language model hosted in ESA’s own data center) gave officials confidence that sensitive data remained secure and compliant under strict rules.
Private AI gives organizations more control over how enterprise data is used and accessed. Instead of sending internal data into public AI models, companies can apply guardrails across AI systems and worflows to protect confidentiality.
This is the approach Portugal’s largest telecom provider, MEO, took when developing an AI assistant to simplify compliance with regulators.
“The conversational assistant with ChatGPT capabilities surprised us with the assertiveness of its responses,” said Francisco Xavier dos Santos, Head of Regulation, Competition and Legal at MEO. “It’s a tool that allows us to free up resources and speed up the work carried out by our team of legal analysts.”
Operating in a sector subject to frequent regulatory changes, MEO’s legal team had spent significant time manually cross-referencing confidential records to meet requests. By collaborating with DXC, the company built an AI assistant that streamlined the extraction and standardization of regulatory information, improving speed and efficiency while safeguarding sensitive data.
A strong commitment to data privacy and security helps build trust, especially in industries that handle sensitive information such as infrastructure, where work on highways, bridges and airports directly impacts public safety.
When Ferrovial, a Spanish infrastructure company headquartered in the Netherlands, set out to streamline operations, it turned to DXC’s AI Workbench. The generative AI platform deployed more than 30 AI agents to improve efficiency and safety across workflows.
Given the critical nature of its projects, Ferrovial required secure and responsible AI. DXC’s AI Workbench delivered the necessary privacy controls while enhancing operations for the company’s 24,000 employees.
Privately deployed AI systems can give companies an edge by allowing them to use their own data more securely and effectively.
For Ventia, an infrastructure services provider in Australia and New Zealand, responding to bids was a time-consuming process that required days of manually retrieving documents from past submissions.
Working with DXC’s data and AI team and its AWS practice, Ventia developed “Tendia,” a GenAI solution trained on the company’s historical tenders. Built on a retrieval augmented generation framework, Tendia enables Ventia to prepare bid responses faster and more efficiently, while ensuring data privacy.
Private AI isn’t always about protecting sensitive data. It can also help governments unlock and organize vast public data collections for broader access.
Italy’s Ministry of Culture partnered with DXC to create an AI agent that gives researchers, museums, and educators a single portal to more than 6,500 libraries. Built on a GraphRAG framework and structured knowledge system, the platform connects cultural objects and historical events, delivering accurate answers linked to credible sources.
Because the AI agent can run in a secure, government-controlled environment instead of a public cloud service, the Ministry maintains data sovereignty and can keep national cultural data in Italy.
This blog originally appeared in the AI Journal