Data resilience company Veeam wants to give its customers more control and security over their data in the age of AI. The Kirkland, Washington-based company announced that it has signed a definitive agreement to acquire Securiti AI, a company that provides enterprises with a command center for all of their data. The deal is valued at one point seven two five billion dollars and is a mix of cash and stock. It is expected to close in the first week of December.
Securiti was founded in 2019 by Rehan Jalil. The company raised more than one hundred fifty-six million dollars in venture capital from investors including Mayfield, General Catalyst, and Cisco Investments. Upon the close of the transaction, the Insight Partners-owned Veeam will offer Securiti’s data command center product alongside its existing offerings. Jalil will join Veeam as the president of security and AI.
Veeam CEO Anand Eswaran stated that we have entered a new era for data. He explained it is no longer just about protecting data from cyber threats and disasters, but also about identifying all data and ensuring it is governed and trusted to power AI transparently. Veeam closed a two billion dollar secondary sale in December 2024 that valued the company at fifteen billion dollars. At that time, Eswaran said one of the company’s plans for 2025 was to find acquisition targets that complemented its data resilience business.
This acquisition news comes amid a year of consolidation in the data industry as data companies are being purchased to help improve data stacks for client AI adoption. In May, Databricks acquired Neon for one billion dollars. A few weeks later, Salesforce acquired the legacy cloud data management platform Informatica for eight billion dollars.
While these transactions have become less frequent now than in the first half of the year, they seem likely to continue. In June, former Gartner analyst Sanjeev Mohan, who now runs the data trend advisory firm SanjMo, stated that there would be a lot of consolidation this year. He said customers have long been tired of using a long list of different data companies to build their data infrastructure. The desire for enterprises to adopt AI has made this data fragmentation more apparent. Mohan added that any good data startup not getting acquired in this environment is likely just too expensive.