Inside Veeam’s next chapter with Securiti AI

When Veeam announced a definitive agreement to acquire California-based Securiti AI, it signalled a new era for artificial intelligence (AI). It unites the global leader in data resilience with the leader in data security posture management (DSPM), data access governance, AI security, and privacy – addressing one of the biggest challenges facing enterprises today: how to accelerate safe AI at scale.

Veeam is hosting a special event at the Jumeirah Burj Al Arab hotel in Dubai on December 18, where top executives from both companies will be present, including Anand Eswaran, CEO of Veeam, and Rehan Jalil, CEO of Securiti AI. At this gathering, regional IT leaders and decision-makers will gain in-depth insight into the partnership, its strategic importance, and how the two companies unite to deliver a trusted data platform, designed to help organisations navigate and accelerate AI adoption safely in today’s data-driven world.

The Data Challenge in the Age of AI

Since the dawn of the digital era, organisations have struggled with limited visibility, trust, and resilience of their data. The rise of AI has brought these issues into sharp focus. Today, all organisational data – structured and unstructured – is accessed, combined, and acted upon at machine speed. Unstructured information that once sat idle in archives or file shares now powers AI copilots, agents, and generative models in real time. With AI, organisations need complete visibility of all their data: where it resides, who can access it, and whether it is protected and recoverable.

Why Visibility Matters

Every business is now a software business powered by data – structured data such as applications and databases, and unstructured data such as documents, PDFs, chats, images, and logs. While unstructured data was historically passive, AI enables new value from this data. Yet most organisations don’t know what data they have, where it is located, who can access it, and how it is being used. You cannot secure or govern what you cannot see.

The Trust Gap

Trust is another critical issue. AI projects fail or stall – 80–90 per cent of the time – not because models are flawed, but because data is incomplete, inconsistent, or non-compliant. Security, privacy, and compliance teams often operate in silos, and policies built for human speed cannot keep pace with AI.

Successful AI requires identity, privacy, and policy information to travel with the data – from creation, to backup, to the AI pipeline – with enforcement at the same speed as AI. Without this, organisations face risks ranging from bad data impacting AI models, to external threats such as prompt-injection leaks, model poisoning, and accidental exposure of regulated data.

Resilience in an AI World

Security risk is escalating. Nearly 70 per cent of organisations were hit by ransomware last year, and attack speeds are accelerating. AI also enables attackers to automate and scale exploits. Inside businesses, unchecked autonomous AI agents can propagate bad data or drift models at machine speed. Data resilience must evolve from simply restoring information to validating that data, models, agents, and embeddings are clean – and restoring only what is safe.

The State of the Data Economy in 2025

Three critical gaps – visibility, trust, and resilience – define the data economy today. They are symptoms of a deeper problem: fragmentation across data, identity, policy, and protection. AI is the accelerant, magnifying both opportunities and risks. Routine weaknesses have become enterprise-level vulnerabilities. Organisations must now see all their data, secure everything, and recover anything at machine speed.

The Innovation Paradox

As AI adoption accelerates across industries, enterprises face a challenge: how to innovate quickly while maintaining compliance, governance, and security. The Middle East exemplifies this challenge. Governments and enterprises are embracing cloud, automation, and AI at unprecedented speed – while meeting stringent data-sovereignty and privacy obligations.

Why Veeam and Securiti AI?

Veeam, long recognised as the global leader in data resilience from backup, to recovery, and ransomware protection, is focused on solving this dilemma. By acquiring Securiti AI, Veeam is bringing together a unified platform that encompasses an organisation’s entire data estate, while ensuring it’s protected, governed and managed – creating the foundation for trusted AI.

From Resilience to Governance: Completing the Data Story

This move reflects the rapid acceleration of AI adoption and the challenges of ensuring the right trusted data is available to power it. Veeam is expanding its trusted data resilience capabilities and integrating Securiti AI’s DSPM, privacy automation, and AI trust technologies.

Together, they will deliver a unified control plane that protects and governs data, enabling safe and scalable AI innovation. This approach eliminates the perceived trade-off between speed and risk, positioning resilience and governance as complementary pillars. It’s a natural evolution for Securiti AI, combining robust data resilience with advanced security and governance. The integrated platform will offer a single command centre for managing resilience, DSPM, privacy, governance, and AI trust across the entire data estate – unlocking AI’s potential while maintaining compliance and mitigating risk.

A Unified Control Plane for Trusted AI

Together they offer customers visibility and control over their data while ensuring it’s protected and can be recovered no matter what happens. Customers can have security, governance, and resilience at the heart of AI projects from the outset, ensuring rapid rollback and integrity validation when anomalies occur. Safety becomes an enabler of innovation, not a constraint.

Backup and recovery workflows will integrate seamlessly with DSPM policies, validating posture, permissions, and compliance before data is backed up or used for AI, establishing trusted AI at scale.

Industry analysts endorse this integration, noting that it bridges gaps between security, governance, compliance, and resilience. By
providing context-rich insights into data usage and access, the combined solution enables proactive risk defence, compliance assurance, and robust governance.

Defining AI Trust in Practice

AI trust means confidence that data is accurate, compliant, and safe for AI use. In practice, this involves lineage tracking, consent enforcement, and risk detection – ensuring AI models operate on governed, resilient data and reducing operational and reputational risks.

Why the Middle East Matters

The Middle East is advancing rapidly in digital transformation, cloud adoption, and AI deployment, supported by strong regulatory frameworks. Enterprises seek to innovate quickly while meeting compliance and sovereignty requirements. The combined Veeam–Securiti AI solution addresses these needs by delivering integrated resilience and governance, enabling organisations to move fast without creating risk.

Governments across the Gulf have introduced national AI strategies and data-protection frameworks, while sectors such as banking, energy, and telecom invest heavily in predictive analytics and generative AI. IDC forecasts AI spending in the region to exceed  $6bn by 2026, underscoring the urgency for trusted AI solutions.

Navigating Sovereignty and Compliance

Hybrid environments present complex challenges for data sovereignty. The integrated platform offers visibility and control across on-premises, cloud, and SaaS environments, enforcing local compliance policies, while maintaining resilience and AI readiness. Early use cases in finance and government show how combining DSPM with immutable backups reduces risk and accelerates innovation.

Veeam’s channel-driven model will continue in the AI era, with new certifications, joint solution bundles, and region-specific programmes to help partners deliver integrated resilience and AI trust solutions. This enables managed service providers and system integrators to move beyond reactive protection toward proactive AI enablement.

Meeting Evolving Regulations

The acquisition anticipates emerging regulations such as the EU’s Digital Operational Resilience Act (DORA) and GCC data-sovereignty laws. Automated privacy checks and auditable governance workflows will allow enterprises to demonstrate compliance with evolving standards. Future dashboards will provide regulators with visibility into AI governance, lineage, and risk.

Competitive Advantage and ROI

The unified control plane combining resilience, DSPM, privacy, and AI trust differentiates Veeam in a crowded market. Customers benefit from reduced incidents, faster recovery, and safer AI launches, while procurement teams can consolidate spend and lower total cost of ownership.

As nations across the Middle East invest in AI research, smart-city initiatives, and sovereign-cloud infrastructure, trusted data and resilient systems are becoming strategic differentiators. The combined Veeam and Securiti AI platform aims to lead this transformation, enabling organisations to innovate confidently and compliantly. For enterprises across the region, trusted AI is no longer optional – it is the foundation for sustainable digital progress.