The American group Veeam Software, owned by the investment firm Insight Partners, is set to acquire Securiti AI for roughly $1.73 billion in cash and stock.
The deal, expected to close by year-end, marks a pivotal step in Veeam’s evolution, traditionally focused on data backup and restoration, toward a broader role as the guardian of digital trust.
“This acquisition enables us to unify resilience, security, and data governance on a single platform,” said Anand Eswaran, CEO of Veeam, noting that the transaction should begin contributing to profits in the latter half of 2026.
Resilience and Data Governance
Historically, Veeam built its reputation on protecting against ransomware and IT outages. With Securiti AI, the company is entering a new arena: safeguarding data used by AI models.
The stakes are high: in an environment where generative AI handles vast amounts of information, the risks of leaks, biases, or privacy violations are escalating rapidly.
“Enterprise AI isn’t feasible without robust data security,” summarized Rehan Jalil, founder and CEO of Securiti AI, who will join Veeam as president in charge of security and AI.
The official Veeam press release outlines the technical ambition of the merger: to offer a “single control plane,” a unified control framework covering production data and secondary data (backups, archives, cloud or SaaS environments).
This integration will enable IT leadership to map their entire data estate, control access, and ensure compliance with international regulations.
Securiti AI brings its Data Command Center platform, built on a knowledge graph that links security, privacy, and governance information. The solution is complemented by an automation engine called “agentic AI,” a secure enterprise search module “Gencore AI,” and advanced Data Security Posture Management (DSPM) and data governance capabilities.
“Our objective is to give customers full visibility into their data, whether it is in production, in backups, or in transit,” explains Anand Eswaran.
Addressing the Complexity of AI Environments
According to Veeam, 70 to 90 percent of enterprise data is unstructured—emails, documents, customer messages—and 80 to 90 percent of AI projects fail due to issues related to data quality, privacy, or access management. By combining its resilience solutions with Securiti AI’s data security expertise, Veeam aims to offer a comprehensive response to this growing complexity.
The acquisition, valued at $1.725 billion, was financed by JPMorgan Chase & Co. and advised by Morgan Stanley on Securiti AI’s side. Based in San Jose, California, Securiti AI employs around 600 people and had been valued at $575 million in 2023 after a $75 million funding round led by Capital One Ventures and Citi Ventures. Investors include General Catalyst and Mayfield.
For its part, Veeam, acquired in 2020 by Insight Partners for $5 billion, claims 6,000 employees and more than 550,000 customers worldwide, including 67% of the Global 2000. In December 2024, it was valued at $15 billion in a secondary round led by TPG, with Temasek and Neuberger Berman participating.
Toward a “Data Confidence Platform” for the AI Era
By blending the expertise of the two companies, Veeam intends to build a data confidence platform that unifies backup, governance, and data security in a multi-cloud setting.
The first joint solutions are expected to be unveiled in the months following the deal closing. The ambition is clear: to position Veeam as a cornerstone of data security in the AI era, where the reliability of models will depend as much on the strength of the algorithms as on the quality—and protection—of the underlying data.
Insight
The “Control Plane”: A Central Tool for Data Management
Applied to data, the “control plane” aims to provide a consolidated view of all information held by an organization, whether stored in the cloud, on premises, in backups, or used by AI models.
Concretely, a unified control plane like the one Veeam seeks to build should enable:
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inventory all enterprise data, regardless of source;
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control access rights and permissions;
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monitor usage and detect risky behavior;
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automate compliance with regulations such as GDPR or CCPA;
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and orchestrate end-to-end security, including for generative AI systems.
This concept, borrowed from networking and cloud domains, is now at the core of data governance in the age of artificial intelligence, where the line between backup, security, and compliance tends to blur.
