Veeam to Acquire Securiti AI for $1.7 Billion

October 21, 2025
Veeam Software has announced a $1.725 billion agreement to acquire data security company Securiti AI, combining data resilience and security capabilities under one platform. The deal is expected to close in the fourth quarter of 2025, pending regulatory approvals.

Veeam Software has signed a definitive agreement to acquire data security company Securiti AI for $1.725 billion, announced in a press release. The transaction, expected to close in the fourth quarter of 2025, will combine Veeam’s data resilience platform with Securiti AI’s data security and privacy technologies.

The acquisition aims to unify data resilience with Data Security Posture Management (DSPM), governance, and AI trust across hybrid, multi-cloud, and SaaS environments. Following the close, Securiti AI’s Data Command Center will be offered alongside Veeam’s existing product suite, providing enterprises with a single control interface for managing and securing their entire data estate.

Securiti AI’s founder and CEO, Rehan Jalil, will join Veeam as president of security and AI. The integration will allow organizations to identify, secure, recover, and manage data across production and backup systems with minimal downtime, enhancing both data governance and reliability for AI applications.

The transaction follows Veeam’s previously stated plans to pursue acquisitions that complement its data resilience business. JPMorgan Chase Bank provided financing for Veeam, while Morgan Stanley advised Securiti AI.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like AI Funding Brief, Cybersecurity AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Subscribe to AI Funding Brief

Market report

2025 State of Data Security Report: Quantifying AI’s Impact on Data Risk

Varonis Systems, Inc.

The 2025 State of Data Security Report by Varonis analyzes the impact of AI on data security across 1,000 IT environments. It highlights critical vulnerabilities such as exposed sensitive cloud data, ghost users, and unsanctioned AI applications. The report emphasizes the need for robust data governance and security measures to mitigate AI-related risks.

Read more