**Global (VeeamON conference):** Veeam unveils new AI capabilities enabling secure, context-aware access to enterprise backup data via the Model Context Protocol, transforming data protection into a platform for AI-driven insights, compliance automation, and enhanced decision-making within future Veeam Data Cloud releases.
Veeam Software, widely recognised as the global leader in data resilience, has announced a significant advancement in integrating enterprise backup data with artificial intelligence (AI) systems. The announcement was made at the company’s annual VeeamON conference, where Veeam revealed new capabilities that allow AI applications to securely access data stored within Veeam repositories, facilitated by support for the Model Context Protocol (MCP). The MCP is an open standard developed by Anthropic aimed at creating seamless connectivity between AI systems and organisational data.
This development represents a pivotal stage in Veeam’s AI roadmap, transforming the traditional role of data protection into a platform for enhanced decision-making, deeper insights, and responsible AI innovation. Niraj Tolia, Chief Technology Officer at Veeam, emphasised the shift in the company’s approach, stating to TahawulTech, “We’re not just backing up data anymore — we’re opening it up for intelligence. By supporting the Model Context Protocol, customers can now safely connect Veeam-protected data to the AI tools of their choice. Whether it’s internal copilots, vector databases, or LLMs, Veeam ensures data is AI-ready, portable, and protected.”
The integration of MCP enables customers to deploy their backup data across a variety of AI-powered use cases. These include the ability to discover and retrieve related documents using natural language queries, summarise conversations from archived emails or support tickets, automate compliance and e-discovery processes, and enrich AI agents and copilots with enterprise-specific context. Such functionalities not only facilitate convenience but also reframe the strategic value companies place on their stored data.
Veeam outlines its AI approach around five main pillars:
- AI Infrastructure Resilience – Ensuring AI infrastructure, applications, data, vector databases, and models are protected with the same level of security and resilience as other critical business data.
- Data Intelligence – Leveraging backup data for AI use cases, whether provided by Veeam, its partners, or customers.
- Data Security – Employing advanced AI and machine learning techniques in malware, ransomware, and threat detection to bolster data protection.
- Admin Assist – Offering AI-driven support and recommendations to backup administrators through AI assistance.
- Data Resilience Operations – Implementing intelligent backups, restorations, policy formation, and sensitive data analysis informed by risk indicators and desired outcomes.
The MCP acts as a universal bridge connecting AI agents with organisational systems and data repositories. By adopting MCP, Veeam facilitates enhanced access to both structured and unstructured backup data using context-aware searches. This integration aims to improve the accuracy and speed of AI-driven business processes while simplifying connectivity between Veeam platforms and any MCP-compliant AI systems, thus eliminating the need for extensive custom development.
Support for MCP is set to be incorporated into future versions of the Veeam Data Cloud, further strengthening the company’s position at the intersection of data resilience and AI innovation.
For more information on Veeam’s AI capabilities and the incorporation of the Model Context Protocol, interested parties can visit the company website.
Source: Noah Wire Services
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