Veeam, a data resiliency company, wants to give its customers greater control and security over their data in the AI era.
The Kirkland, Wash.-based company announced Tuesday that it has signed a definitive agreement to acquire Securiti AI, a company that provides enterprises with a command center for all their data. The $1.725 billion deal is a combination of cash and stock and is expected to close in the first week of December, Bloomberg first reported.
Securiti was founded in 2019 by Rehan Jalil. The company has raised more than $156 million in venture capital from investors including Mayfield, General Catalyst, and Cisco Investments.
Once the transaction closes, Veeam, an Insight Partners company, will offer Securiti’s data command center products alongside its existing offerings. Jalil joins Veeam as President of Security and AI.
“Data has entered a new era. It’s no longer just about protecting data from cyber threats and unexpected disasters, it’s also about identifying all data and ensuring it’s managed and trusted to transparently power AI,” Veeam CEO Anand Eswaran said in the company’s press release.
Veeam completed a $2 billion secondary sale in December 2024, valuing the company at $15 billion. At the time, Eswaran said one of the company’s plans for 2025 is to find acquisition targets to complement its data recovery business.
News of the acquisition comes as the data industry enters a year of consolidation, with data companies being acquired to improve their data stacks and help customers deploy AI.
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In May, Databricks acquired Neon for $1 billion. A few weeks later, Salesforce acquired Informatica, a traditional cloud data management platform, for $8 billion.
These transactions are now less frequent than in the first half of this year, but are likely to continue. Sanjeev Mohan, a former Gartner analyst who now runs data trends advisory firm SanjMo, told TechCrunch in June that there will be a lot of consolidation this year.
He said customers have long been tired of having to use a vast list of different data companies to build their data infrastructure stack. This data fragmentation is becoming more pronounced due to the fact that companies want to implement AI.
Mohan added that good data startups that aren’t acquired in this environment are probably too expensive.
