Veeam’s $1.7B Securiti AI Acquisition Highlights Privacy and Security Focus

In recent years, the landscape of data privacy has transformed significantly, propelled by a global surge in privacy regulations. From the European Union’s General Data Protection Regulation (GDPR) to California’s California Consumer Privacy Act (CCPA) and India’s Data Protection Bill (DPDP), privacy compliance has become both a legal necessity and a business imperative. Despite the pressing need for compliance—highlighted by the fact that 78% of countries now enforce privacy laws—there remains a stark gap in the adoption of advanced privacy management technologies, with only around 10% of organizations implementing such solutions.

A notable industry development illustrating this transformation is Veeam’s $1.7 billion acquisition of Securiti AI. This strategic move epitomizes the market’s consolidation toward unified “privacy by platform” models. By integrating Securiti’s AI-powered data governance capabilities into its existing suite, Veeam aims to create a streamlined “Data Command Center” that merges backup, security, privacy, and compliance functionalities. This shift represents a critical transition from reactive data protection to proactive trust management, particularly in hybrid and AI-driven environments.

Leading Data Privacy Solution Providers

The market for privacy management solutions is teeming with notable players, each contributing unique capabilities to the landscape. Some of the leaders in this domain include:

• OneTrust: Recognized as the global leader in AI-driven compliance and privacy risk management, OneTrust offers a suite of tools designed for scalable enterprise privacy programs.
• TrustArc: Specializes in consent management and automated privacy impact assessments, helping organizations navigate cross-border compliance seamlessly.
• BigID: Is applauded for its automated data discovery, classification, and mapping capabilities, making it easier for organizations to comply with regulations like GDPR, CCPA, and HIPAA.
• Securiti: Focuses on unified data intelligence, streamlining data mapping and ongoing privacy compliance through automation.
• Data Safeguard: An AI-powered privacy management platform, it offers a comprehensive suite of products that helps organizations comply with various information privacy laws while minimizing the risk of costly fines.

In addition to these established leaders, other players are emerging in Asian and developing markets, expanding their offerings to enhance privacy platforms and consulting services. Technology solutions, such as Varonis, CipherTrust, and Forcepoint DLP, are also crucial in addressing risks at both the infrastructure and data exposure levels.

The acquisitions reflect a broader industry trend where cybersecurity, data governance, and privacy are rapidly converging. Major mergers—such as Rubrik’s acquisition of Laminar and Palo Alto Networks’ purchase of Dig Security—underscore this reality. These mergers effectively consolidate Data Security Posture Management (DSPM), compliance automation, and AI-based data discovery, aiding enterprises in proving lawful data processing and minimizing data exposure while maintaining trust globally.

The activity within the private equity space, exemplified by Main Capital’s acquisition of TrustArc, reveals an increasing investor confidence in established privacy platforms, especially in expanding markets like India and the EU. Noteworthy companies like OneTrust, BigID, TrustArc, Data Safeguard, and PrivaSapien are at the forefront of innovation, pushing boundaries with AI-driven consent, classification, and policy enforcement solutions.

Looking ahead, the next phase of privacy evolution will be deeply platform-centric—integrating data discovery, governance, and AI safety within enterprise ecosystems. The focus is shifting from mere feature expansion to regulatory enforcement, driving vendors toward more automation, interoperability, and audit-ready telemetry. As organizations embed frameworks of “privacy by design” and “privacy by platform,” the traditional divide between data protection and business intelligence is blurring, positioning trust as the new currency in a rapidly advancing AI-driven marketplace.

From 2023 to 2025, the privacy tech landscape is transitioning from mere checklist compliance to data-centric platforms equipped to discover, govern, and assert control over sensitive data on a large scale. This shift often encompasses security, backup, and CRM elements, indicating a comprehensive approach to privacy. We may anticipate more significant consolidation within DSPM and AI-safety controls as enterprises continue to operationalize privacy within their GenAI workflows.