Kirkland, Washington-based Veeam, a data resilience company, announced Tuesday it has signed a definitive agreement to acquire Securiti AI, a company specializing in enterprise data command center solutions. The transaction, valued at $1.725 billion in a mix of cash and stock, is anticipated to conclude during the first week of December, according to a report by Bloomberg.
Securiti AI was founded in 2019 by Rehan Jalil, who will join Veeam as the president of security and AI upon the acquisition's closure. The company secured over $156 million in venture capital from investors including Mayfield, General Catalyst, and Cisco Investments. Following the completion of the deal, Veeam, which is owned by Insight Partners, plans to integrate Securiti's data command center product into its existing portfolio.
Anand Eswaran, Veeam CEO, stated in a company press release, "We've entered a new era for data. It's no longer about just protecting data from cyber threats and unforeseen disasters; it's also about identifying all your data, ensuring it's governed and trusted to power AI transparently." This acquisition aligns with Veeam's strategic objectives for data control and security in an increasingly AI-driven industrial landscape.
The acquisition follows Veeam's $2 billion secondary sale in December 2024, which valued the company at $15 billion. At that time, Eswaran indicated that identifying complementary acquisition targets was a key strategic plan for 2025 to bolster the company’s data resilience business.
This transaction occurs amid a period of consolidation within the broader data industry, driven by enterprises' increasing demand for robust data stacks to facilitate AI adoption. Recent significant acquisitions include Databricks' purchase of Neon for $1 billion in May and Salesforce's acquisition of Informatica for $8 billion weeks later.
Sanjeev Mohan, a former Gartner analyst who now leads the data trend advisory firm SanjMo, commented in June that substantial consolidation was expected this year. Mohan noted that customers have expressed a desire to reduce the number of disparate data companies required for their data infrastructure. The accelerating enterprise adoption of AI has underscored this issue of data fragmentation, with Mohan adding that any strong data startup not being acquired in the current environment is likely considered too expensive.
