Veeam’s $1.7B Securiti AI Deal Signals Privacy-Security Convergence

The global surge in privacy regulations—from the EU’s GDPR and California’s CCPA to India’s DPDP Act—has transformed data privacy into both a compliance necessity and a business differentiator. Yet, while 78% of countries now enforce privacy laws, only around 10% of organizations have adopted advanced privacy management technology, leaving a vast compliance gap.

Veeam’s $1.7 billion acquisition of SecuritiAI epitomizes the market’s consolidation toward unified “privacy by platform” models. By integrating Securiti’s AI-powered data posture and governance capabilities into its resilience suite, Veeam aims to merge backup, security, privacy, and compliance under a single data command center. This marks a strategic shift from reactive data protection to proactive trust management across hybrid and AI-driven environments.

Leading Data Privacy Solution Providers

The market features a diverse set of leaders delivering privacy management and “Privacy by Design” solutions:

•           OneTrust: The global market leader in AI-driven compliance, consent, and privacy risk management, with broad tools for scalable enterprise privacy programs.

•           TrustArc: Offers consent management, cross-border compliance, automated data subject requests, and privacy impact assessments.

•           BigID: Recognized for automated data discovery, classification, and mapping—leveraging AI to streamline adherence to regulations like GDPR, CCPA, and HIPAA.

•           Securiti: Specializes in unified data intelligence for automated data mapping and continuous privacy compliance.

•           Data Safeguard: It is a leading AI-powered privacy management platform offering a comprehensive product suite to help organizations comply with information, communication, and individual privacy laws while preventing costly fines.

Notably, there are other players are also bringing privacy platforms and consulting to Asian and emerging markets, while enforcement technologies such as Varonis, CipherTrust, and Forcepoint DLP address risk at the infrastructure and data layer.

The move aligns with a broader industry trend where cybersecurity, data governance, and privacy are rapidly converging. Major acquisitions—Rubrik–Laminar, Palo Alto Networks–Dig Security, Forcepoint–Get visibility, and Salesforce–Informatica—illustrate the same trajectory.

These mergers consolidate Data Security Posture Management (DSPM), compliance automation, and AI-based data discovery to help enterprises prove lawful processing, minimize data exposure, and maintain trust across global operations.

Private equity activity, such as Main Capital’s acquisition of TrustArc, underscores growing investor confidence in mature privacy platforms, especially in expanding markets like India and the EU. Meanwhile, leaders such as OneTrust, BigID, TrustArc, DataSafeguard, and PrivaSapien continue to drive innovation through AI-driven consent, classification, and policy enforcement solutions.

The next phase of privacy evolution is platformic—integrating data discovery, governance, and AI safety within enterprise ecosystems. Regulatory enforcement, not feature expansion, is now the key driver, pushing vendors toward automation, interoperability, and audit-ready telemetry.

As organizations embed “privacy by design” and “privacy by platform” frameworks, the boundary between data protection and business intelligence is dissolving—making trust the new competitive currency in the AI era.

From 2023–2025, privacy tech M&A has shifted from checkbox compliance to data-centric platforms that can discover, govern, and prove control of sensitive data at cloud scale—often bundled with security, backup, and CRM stacks. Expect more consolidation around DSPM and AI-safety controls as enterprises operationalize privacy in GenAI workflows.