Analyst(s): Fernando Montenegro
Publication Date: May 22, 2026
What is Covered in This Article:
- Veeam hosted its 12th annual VeeamON event in New York City, marking the company’s 20th anniversary with a new vision tailored for the “Agentic Era”.
- The introduction of the Veeam Data AI Command Platform aiming to unify data resilience, DSPM, compliance, and AI governance.
- Veeam’s transition from a traditional backup utility to a comprehensive Data and AI Trust platform framework.
- Core updates, including Veeam Data Platform 13.1 with better Proxmox hypervisor support and expanded cloud malware detection.
- Leveraging the Securiti.ai acquisition, Coveware, and a new maturity model to bridge the IT-security organizational divide.
The Event — Major Themes & Vendor Moves: VeeamON is Veeam’s user conference series. Now in its 12th year, the event has evolved into a series of regional events, anchored in three main events in the Americas, Europe, and Asia, supported by other satellite events.
At the main Americas edition of VeeamON, recently held in New York City, Veeam centered its announcements on its strategic expansion into the data and AI trust market. The centerpiece of the event was the launch of the Veeam Data AI Command Platform, a single console that integrates data resilience, data security posture management (DSPM), compliance, and AI governance via a unified intelligence knowledge graph.
CEO Anand Eswaran framed this platform rollout through the evolution of three distinct operational eras:
- Era 1 (Backup and Recovery): Focused on baseline data availability, infrastructure coverage, and minimizing recovery time objectives.
- Era 2 (Cyber Resilience): Emerged in response to systemic ransomware, shifting corporate posture to assume breaches will occur and mandating immutable backups.
- Era 3 (The Agentic Era): Driven by autonomous AI software agents interacting directly with distributed data repositories, breaking traditional security perimeters.
Veeam emphasized that absolute data trust is the foundational prerequisite for safe enterprise AI deployment. Because autonomous models ingest vast pipelines of unstructured corporate content at machine speed, any unmanaged or poisoned data poses an immediate threat. The new platform leverages its underlying knowledge graph to map data elements, user identities, and agent activities, ensuring data integrity before AI tools interact with corporate infrastructure. Additional product rollouts included Veeam Intelligent Resilient Operations for Microsoft 365, which optimizes cloud storage environments, and Veeam Data Platform 13.1, featuring expanded hypervisor compatibility and inline malware detection for cloud workloads. During an executive customer panel, an executive from Fidelity noted that the shift to automated corporate environments makes unmanaged corporate data an immediate vulnerability without rigorous, automated posture management and contextual governance.
At VeeamON 2026, Veeam Grows from Resilience to a Data and AI Trust Company
Analyst Take: Veeam is expanding with a clear focus on a broader role in technology markets, aiming to operate with the rigor of a public entity. Currently valued at approximately $15B, the company is actively shifting past its legacy identity as a traditional backup utility. At VeeamON 2026, this strategy manifested as a definitive transition toward a Data and AI Trust framework designed to capture overlapping IT, security, and compliance budgets.
This positioning addresses a critical enterprise bottleneck. While the infrastructure for deploying AI models is readily available, the foundational data control plane needed to trust those models remains absent.
Cloud-Native Footprint to Broad Data Resilience
Veeam’s deep footprint in cloud and cloud-native environments provides a massive enterprise data surface area. By anchoring its availability platform across major hyperscalers, the company commands a structural vantage point to support a wide data resilience strategy.
Because Veeam already governs the primary distributed storage copies of corporate data, extending its platform capabilities into active data governance is a logical and highly defensible next step.
Feature-Rich Momentum via Veeam Data Platform 13.1
Veeam avoided the trap of ignoring its baseline infrastructure users while advancing its automated capabilities. The launch of Veeam Data Platform 13.1 introduces over 70 enhancements directly supporting core resilience use cases.
Capabilities such as expanded inline malware detection across AWS, Azure, and NAS workloads, alongside advanced Active Directory forest recovery, demonstrate a continuous commitment to enterprise defense. This technical velocity keeps traditional infrastructure buyers engaged while newer security modules mature.
Hypervisor Agnosticism as a Strategic Migration Safeguard
This focus on foundational resilience is illustrated by Veeam’s rapid drive toward feature parity for alternative hypervisors like Proxmox. This architecture serves as a critical migration safety net for enterprises navigating ecosystem volatility, such as recent VMware licensing and pricing shifts.
Diversifying production hypervisors introduces operational risk. By ensuring that core backup, replication, and instant recovery workflows function identically across different hypervisor environments, Veeam lowers the barrier to platform exit and de-risks infrastructure modernization.
Strategic Realization of the Securiti.ai Acquisition
The key architectural milestone of the event centers on the integration of the Securiti.ai acquisition. Veeam is demonstrating genuine engineering synergy by embedding Securiti’s multi-domain knowledge graph natively into its availability architecture.
This deep integration allows the platform to link data classification, access permissions, and system visibility directly within the recovery pipeline. By tying these capabilities together, Veeam effectively turns a passive backup repository into an active security control plane.
Engineering Complexity in Intercepting Agentic Data Operations
The concept of Precision Resilience addresses a foundational requirement for complex agentic workflows. Because autonomous software agents alter data at machine speed, standard macro-level recovery methods are no longer sufficient. However, executing element-level interception and reversing specific agent actions requires deep technical integration to avoid disrupting state consistency across dependent applications.
While this granular control is highly achievable within well-documented native environments, its broader success will depend on how effectively the platform intercepts operations across varied agent architectures. Black-box third-party integrations, unmapped shadow deployments, and continuous streaming data pipelines all present distinct operational challenges.
Coveware and the Maturity Model for Executive Engagement
Achieving concrete business outcomes with enterprise AI initiatives requires a parallel focus on strategic executive engagement. The operational footprint of Coveware by Veeam serves as a practical entry point for this level of conversation. Given its active role in managing active ransomware responses, Coveware establishes an immediate blueprint for access to senior leadership during windows where cross-functional collaboration is mandatory.
This tactical access is complemented by the new Data and AI Trust Maturity Model, moving the relationship from reactive crisis resolution to proactive business outcomes. This five-level framework provides a benchmarked roadmap for evaluating readiness across visibility, security, resilience, and AI governance, enabling Veeam to align traditionally siloed enterprise buyers.
Dualistic Competition and the Data Trust Credibility Pivot
This broader vision expands Veeam’s market dynamics into a dual competitive landscape. While the company continues to defend its core territory against traditional availability rivals such as Commvault, Rubrik, and Cohesity, it is also entering a cybersecurity market dominated by established platform giants. By integrating posture management and data governance, Veeam aligns with comprehensive security frameworks, including Microsoft Purview, native capabilities in Google Cloud, and enterprise security platforms like Palo Alto Networks, CrowdStrike, Cisco, Fortinet, and others. Competition from data-centric vendors such as Cyera, Varonis, and others is also significant.
Navigating this evolution requires building deep relationships with CISOs and Chief Privacy Officers who historically manage budgets outside the traditional storage silo. Beyond refining its direct messaging and engineering execution, Veeam must successfully collaborate with key channel partners, particularly Global System Integrators (GSIs) who lead large-scale enterprise AI transformations. Securing these partnerships will be essential to validate that an established infrastructure footprint can serve as a trusted security control plane for modern business workflows.
What to Watch:
- How quickly can Veeam bridge the organizational divide between IT teams and security personas? Consolidating separate infrastructure and CISO budgets into a unified data trust platform will define the platform’s enterprise velocity.
- Can Veeam maintain high product velocity across both traditional resilience and newer data trust modules? Delivering true file-level triggers for Precision Resilience alongside dense updates like VDP 13.1 remains an intense engineering challenge.
- Will Veeam’s data trust capabilities become a foundational prerequisite for complex corporate AI deployments? Ensuring data integrity directly within the storage pipeline is critical to de-risking autonomous, machine-speed enterprise workflows.
- Can Veeam effectively enable its traditional channel and Global System Integrators for these new security motions? Training partners to articulate high-level AI governance and compliance outcomes is essential to support this broader market role.
Please refer to the VeeamON website for additional information.
Disclosure: Futurum is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.
Analysis and opinions expressed herein are specific to the analyst individually and data and other information that might have been provided for validation, not those of Futurum as a whole.
Other Insights From Futurum:
Are Data Protection and Security Finally Converging—or Just Colliding?
Veeam Makes Bigger Data Security Play with Acquisition of Securiti
RSAC 2026: The AI ‘Tragedy of the Commons’ and the Future of Agentic Security
Author Information
Fernando Montenegro serves as the Vice President & Practice Lead for Cybersecurity & Resilience at The Futurum Group. In this role, he leads the development and execution of the Cybersecurity research agenda, working closely with the team to drive the practice's growth. His research focuses on addressing critical topics in modern cybersecurity. These include the multifaceted role of AI in cybersecurity, strategies for managing an ever-expanding attack surface, and the evolution of cybersecurity architectures toward more platform-oriented solutions.
Before joining The Futurum Group, Fernando held senior industry analyst roles at Omdia, S&P Global, and 451 Research. His career also includes diverse roles in customer support, security, IT operations, professional services, and sales engineering. He has worked with pioneering Internet Service Providers, established security vendors, and startups across North and South America.
Fernando holds a Bachelor’s degree in Computer Science from Universidade Federal do Rio Grande do Sul in Brazil and various industry certifications. Although he is originally from Brazil, he has been based in Toronto, Canada, for many years.
